Course Code:

EI-PE-101

Course Name: Program Elective-I

CONTROL SYSTEM DESIGN (i)

L

T

P

C

3

–

–

3

Year and Semester

1^st Yr.

1^st  Semester

Contact hours per week: (3Hrs)

Exam:  (3 Hrs)

Pre-requisite of course

Control System

Evaluation

CIE:  40

SEE: 60

Course Objectives:

1.     Study Design Specifications of control system.

2.     Study the concept of multi-criteria optimization, norms of scalar & vector signals, norms of SISO LTI & MIMO LTI systems, state space methods for computing norms.

3.     Study closed loop convex design specifications, convexity & duality.

4.     Study the concept of Reliability & closed loop stability, regulation specifications, differential sensitivity specifications, robustness specifications.

5.     Study, analysis and  design of  Compensators &  controller using various techniques

including Root locus & Bode plots

6.     Study the state variable analysis, controllability and observability, state feedback for SISO

system and MIMO systems and their design

7.     Introduction to design of non-linear system.

Course Outcomes: On completion of the course, student would be able to:

CO1

Ability to understand  the concept of multi-criteria optimization, norms of scalar & vector signals, norms of   SISO LTI & MIMO LTI systems, state space methods for computing norms.

CO2

Ability to understand the concept of closed loop convex design specifications, convexity & duality.

CO3

Ability to understand the concept of Reliability & closed loop stability, regulation specifications, differential sensitivity specifications, robustness specifications.

CO4

Ability to analysis and design of Compensators& controllers by different techniques.

CO5

Ability to understand concept of state feedback for SISO    system and MIMO systems and their design.

Module No

COURSE SYLLABUS

CONTENTS OF MODULE

Hrs

COs

1

INTRODUCTION: Control System Architecture, Design Specifications Functional in-equally specifications, multi-criteria optimization, norms of scalar & vector signals, norms of SISO LTI & MIMO LTI systems, state space methods for computing norms, design specifications as sets, affine & convex sets and functions, closed loop convex design specifications, convexity & duality

8

CO1, CO2

2

DESIGN SPECIFICATIONS:  Reliability & closed loop stability, I/O specifications, regulation specifications, actuator effort, combined effect of disturbances & commands, differential sensitivity specifications, robustness specifications via gain bounds.

9

CO1,CO3

3

Compensators & CONTROLLERS DESIGN: Selection criteria and design of lead, lag, lead-lag and cascade type of compensators using Root locus & Bode plots, Rate feedback. Controllers – configuration and fundamentals of design, cascade and feedback compensation using various controllers.

10

CO3

CO4

CO5

4

STATE VARIABLE FEED BACK DESIGN: Introduction to state variable analysis, controllability and observability, state feedback for SISO system, state feedback design of SISO system using control canonical form. State variable feedback _ steady state error analysis, Use of steady state error coefficients, design of state observers, Introduction to design of MIMO systems. Introduction to design of non-linear system and software.

10

CO4

CO5

Course Code:

EI-PE-101

Course Name: Program Elective I,

Process Equipment Design (ii)

L

T

P

C

3

–

–

3

Year and Semester

1^st Yr.

1^st Semester

Contact hours per week: (3 Hrs)

Exam:  (3 Hrs)

Pre-requisite of course

Process Control Systems

Evaluation

CIE:  40

SEE: 60

Course Objectives:

1.     It aims to equip the students with Equipment design 

2.     To provide adequate knowledge about various types of equipment

Course Outcomes: On completion of the course, student would be able to:

CO1

Distinguish between various process devices and equipments

Control and optimize process equipments

Characterize storage equipments

Design heat exchange equipment

CO2

CO3

CO4

Module No

COURSE SYLLABUS

CONTENTS OF MODULE

Hrs

COs

1

Valve Noise calculation and reduction: Sources of valve noise, noise control, path treatment, valve treatment, valve noise calculation. Design & construction of Globe valve: valve trends, trim design, trim flow characteristics, flow range ability, standard trim configuration, valve plug stems, Body form of single and double seated globe valve, Bonnet design of global valve. Construction and flow characteristics of butterfly valve.

8

CO1

2

Boiler control and optimization, compressor control and optimization, cooling tower control and optimization, distillation controls, evaporator controls

Basics of Process Equipment Design: General design procedure, Computer design, Fabrication techniques, Equipment classification, Power of rotational motion, Drives for process equipment.

8

CO1, CO2

3

Pressure Vessels: Pressure vessel code, Operating conditions – at low temperatures, at elevated temperatures, Design considerations and stresses, fabrication, inspection and tests, unfired vessel codes, High pressure vessels: Constructional features, materials, solid walled, multi shell, vessel closures, Jacket for vessels, Examples. Storage Vessels: Storage of fluids, Non-volatile liquids, volatile liquids and gases, Design of tanks, rectangular tanks, nozzles and mounting, Large capacity storage tanks, Examples. Reaction Vessels: Materials for construction, agitation, classification of reaction vessels, heating systems.

8

CO1, CO3

4

Heat Exchangers: Types of heat exchangers, design of shell and tube heat exchangers. Evaporators and Crystallisers: Types of evaporators, entrainment separators, materials and design considerations, crystallisers, Examples. Process Hazards and Safety Measures in Equipment design. Process flow diagrams.

8

CO1 CO4

Course Code:

EI-PE-101

Course Name: Program Elective-I

INDUSTRIAL ENVIRONMENTAL ENGINEERING (iii)

L

T

P

C

3

–

–

3

Year and Semester

1^st Yr.

1^st Semester

Contact hours per week: (3Hrs)

Exam:  (3 Hrs)

Pre-requisite of course

Nil

Evaluation

CIE:  40

SEE: 60

Course Objectives:

1.     To introduce the concept of air, water and noise pollution monitoring

2.     To study the concepts of emission type pollution controls

3.     To study the various air pollution monitoring instruments and methods for process industries.

4.     To introduce the pollution control and monitoring methods for pulp and paper industries.

Course Outcomes: On completion of the course, student would be able to:

CO1

Identify sources of air ,noise and water pollution and their effects

CO2

Sample and analyze air pollutants

CO3

Understand the air quality monitoring instruments

CO4

Sample and analyze water borne pollutants

CO5

Understand the water quality monitoring instruments

Module No

COURSE SYLLABUS

CONTENTS OF MODULE

Hrs

COs

1

INTRODUCTION: Source and classification of Air Pollution, Effect of Air Pollution in Human Health, Effect of Air Pollution on Animals, Effect of Air Pollution on Plants, Economics Effects of Air Pollution, Control of Air Pollution by Equipment, Control of Air Pollution by Process Changes, Air Pollution from Major Industrial Operations, Air Pollution legislation and regulation, Environment Protection Act, Air Pollution in Indian cities, Water & Noise Pollution. & its control, Green House effects & its control.

8

CO1

2

POLLUTION CONTROL FOR SPECIFIC POLLUTANTS: Industrial Pollution Emission and Indian Standards, Analysis of Pollutants, Control of BOD, Removal of Chromium, Removal of Mercury, Removal of Ammonia / urea, Treatment of Phenolic Effects, Removal of particular matter, Removal of Sulphur Dioxide, Removal of Oxides of Nitrogen, Removal of Vapour from Efficient case, Control of CO2 and CO.

8

CO1,CO2

3

POLLUTION CONTROL IN SELECTED PROCESS INDUSTRIES: General considerations of Pollution Control in Chemical Industries, Pollution Control aspects of fertilizer industries, Pollution Control in Petroleum & Petrochemical Units.

8

CO2,CO3

4

Pollution Control in Pulp & Paper Industries, Tanning Industries, Sugar Industries, Alcohol Industries, Electroplating & Metal Finishing Industries, Radioactive Wastes, Pollution Control methods used in Power Plants.

8

CO1, CO4, CO5

Course Code:

EI-PE-101

Course Name: Program Elective-I

POWER PLANT ENGINEERING (iv)

L

T

P

C

3

–

–

3

Year and Semester

1^st Yr.

1^st Semester

Contact hours per week: (3Hrs)

Exam:  (3 Hrs)

Pre-requisite of course

Basic Science

Evaluation

CIE:  40

SEE: 60

Course Objectives:

1.     To study the concept of steam power plant.

2.     To study the concept of Hydro-electric power plants and Nuclear power plants

3.     To study the concept of gas turbine and diesel power plants.

4.     To study the combined operation of different power plants.

Course Outcomes: On completion of the course, student would be able to:

CO1

To understand the operation of steam power plant.

CO2

To understand the operation of Hydro-electric power plants and Nuclear power plants

CO3

To understand the operation of gas turbine and diesel power plants.

CO4

To understand the combined operation of different power plants.

Module No

COURSE SYLLABUS

CONTENTS OF MODULE

Hrs

COs

1

Steam generators, condensers and turbines: Classification of steam generators, selection, operation of locomotive, Babcock Wilcox, Cochran boilers, Types of condensers, effect of air in condensers, Dalton’s law of partial pressure, cooling water calculations, steam nozzles, types of steam turbine efficiencies, compounding, governing and control.

Steam power plant: Classification, Operation, Description of Rankin cycle, Regenerative cycle, Reheat-Regenerative Cycle, Binary Vapour Cycle, Selection of plant site and its layout, coal handling system, combustion system, Fluidised bed combustion, Ash handling, Feed pumps, Heat exchangers, Economizers, Super heaters, Reheaters, Air preheaters, Feed water heaters, Evaporators.

8

CO1

2

Hydro-electric power plants: Hydrological Cycle, Hydrograph, Flow duration curve, Selection of site, Essential features, Classification of hydro plants, Selection of water turbines for hydro power plant, Automatic and remote control of hydro-station, layout of hydro power plant.

Nuclear power plants: Nuclear physics, Binding energy, Radioactive decay. Fertile material, Mass defect, Nuclear reactions type and application, Generation of nuclear energy by fission, Nuclear reactors. Site selections, safety measures, plant layout, Fusion reaction, Future of nuclear power.

8

CO2

3

Gas turbine: Elements of gas turbines, Open and closed cycles for gas turbines, Performance terms, Thermal refinement to gas turbines cycle, Plant layout, applications, gas turbines Cycle calculations. Diesel power plants: Classifications of IC Engines and their performance, Four stroke and two stroke diesel engines, combustion phenomenon; Essential components, Celane number, knocking, super charging, operation and layout of diesel power plant.

8

CO3

4

Combined operation of different power plants: Advantages of combined operation of plants, load division between power stations, coordination of different types of Power Plants.

Pollution control: Pollution from thermal & nuclear plants, Particulate emission and control, electrostatic precipitator, solid waste disposal.

8

CO4

Course Code:

EI-PE-101

Course Name: Program Elective-I

ENERGY AUDITING AND METHODOLOGY (v)

L

T

P

C

3

–

–

3

Year and Semester

1^st Yr.

1^st Semester

Contact hours per week: (3Hrs)

Exam:  (3 Hrs)

Pre-requisite of course

Electrical Measurements and Instruments

Evaluation

CIE:  40

SEE: 60

Course Objectives:

1.     To introduce the concept of Energy Management and Audit.

2.     To study the concepts of financial management.

3.     To study and analysis various type of appliance in electrical system.

4.     To study the conceptual theory and working of refrigeration system.

Course Outcomes: On completion of the course, student would be able to:

CO1

To understand the concept of Energy Management and Audit.

CO2

To understand the concepts of financial management.

CO3

To familiarize with various type of appliance in electrical system.

CO4

To understand conceptual theory and working of refrigeration system.

Module No

COURSE SYLLABUS

CONTENTS OF MODULE

Hrs

COs

1

Energy Scenario: Energy needs of growing economy, Long term energy scenario, Energy pricing, Energy sector reforms, Energy and environment: Air pollution, Climate change, Energy security, Energy conservation and its importance, Energy strategy for the future, Energy conservation Act- 2001 and its features. Energy Management and Audit: Definition, Energy audit- need, Types of energy audit, Energy management (audit) approach-understanding energy costs, Bench marking, Energy performance, Matching energy use to requirement, Maximizing system efficiencies, Optimizing the input energy requirements, Fuel and energy substitution, Energy audit instruments.

8

CO1

2

Material and Energy balance: Facility as an energy system, Methods for preparing process flow, Material and energy balance diagrams. Financial Management: Investment-need, Appraisal and criteria, Financial analysis techniques- Simple payback period, Return on investment, Net present value, Internal rate of return, Cash flows, Risk and sensitivity analysis, Financing options, Energy performance contracts and role of energy savings companies (ESCOs).

8

CO2

3

Electrical system: Electricity tariff, Load management and maximum demand control, Power factor improvement, Distribution and transformer losses. Losses in induction motors, Motor efficiency, Factors affecting motor performance, Rewinding and motor replacement issues, energy efficient motors. Light source, Choice of lighting, Luminance requirements, and Energy conservation avenues Compressed air system: Types of air compressors, Compressor efficiency, efficient compressor operation, Compressed air system components, Capacity assessment, Leakage test Factors affecting the performance and efficiency.

8

CO3

4

High Voltage Alternating Current and Refrigeration System: Vapor compression refrigeration cycle, Refrigerants, Coefficient of performance, Capacity, Factors affecting refrigeration and air conditioning system performance and savings opportunities, Vapor absorption refrigeration system: Working principle, Types and comparison with vapor compression system, Saving potential, Fans, Blowers and pumps- Types, Performance evaluation, Efficient system operation, Flow control strategies and energy conservation opportunities.

8

CO4

Course Code:

EI-PE-101

Course Name: Program Elective-I

ENERGY EFFICIENT MACHENES (vi)

L

T

P

C

3

–

–

3

Year and Semester

1^st Yr.

1^st Semester

Contact hours per week: (3Hrs)

Exam:  (3 Hrs)

Pre-requisite of course

Electrical Machines

Evaluation

CIE:  40

SEE: 60

Course Objectives:

1.     To introduce the concept of energy management and energy audit system.

2.     To introduce the concept and Economics of Power factor improvements.

3.     To study the concept of Energy efficient machines Energy efficient and Economics of Energy power generation.

4.     To study the concept of economics of electrical energy distribution and electrical drives.

Course Outcomes: On completion of the course, student would be able to:

CO1

To Familiarize withthe concept of the concept of energy management and energy audit system

CO2

To understand the concept of Energy efficient machines and Economics of Power factor improvements.

CO3

To Familiarize with the concept of Energy efficient machines and Economics of Energy power generation.

CO4

To understand the concept of economics of electrical energy distribution and electrical drives.

Module No

COURSE SYLLABUS

CONTENTS OF MODULE

Hrs

COs

1

INTRODUCTION: Need for energy efficient machines, energy cost and two part tariff, energy conservation in industries and farms -a necessity, introduction to energy management and energy audit system. Review of induction motor characteristics.

7

CO1

2

POWER FACTOR: The power factor in sinusoidal systems, power factor improvement, power factor with nonlinear loads, Harmonics and the power factor.

7

CO2

3

ENERGY EFFICIENT MOTORS: Standard motor efficiency, why more efficient motors? An energy efficient motor, efficiency determination methods, Direct Measurement method, Loss segregation method, Comparison, motor efficiency labelling, energy efficient motor standards. Motor life cycle.

8

CO3

4

INDUCTION MOTORS AND ADJUSTABLE DRIVE SYSTEMS: Energy Conservation, adjustable speed systems, Application of adjustable speed systems to fans, pumps and constant torque loads.

8

CO4

Course Code:

EI-PC-103

Course Name: BIO-MEDICAL INSTRUMENTATION

L

T

P

C

3

–

–

3

Year and Semester

1^st Yr.

1^stSemester

Contact hours per week: (3Hrs)

Exam:  (3 Hrs)

Pre-requisite of course

Physics, Basic Electrical Engineering.

Evaluation

CIE:  40

SEE: 60

Course Objectives:

1.     To introduce the concept of Bio Instrumentation like Medical Bio Potential Electrodes and Biomedical Recorders.

2.     To study cardiac and Respiratory measurements system

3.     To study Instrumentation for Measuring Nervous Function.

4.     To study Recent Trends in Biomedical Engineering.

Course Outcomes: On completion of the course, student would be able to:

CO1

To Familiarize with Bio Medical Instrumentation.

CO2

To understand cardiac and Respiratory measurements system.

CO3

To understand Instrumentation for Measuring Nervous Function.

CO4

To understand the Recent Biomedical devices instrumentation.

Module No

COURSE SYLLABUS

CONTENTS OF MODULE

Hrs

COs

1

Characteristics of Transducers and Electrodes for Biological Measurement: Introduction to human body; block diagram, classification, characteristics, various physiological events and suitable transducer for their recording, bioelectric potentials

5

CO1

2

Cardiac & System: Cardiac musculature, Electro cardiography, ECG recording, Phonocardiography, holter recoding ECG lead system, Heart rate meter, vector cardiography, Pacemakers, Defibrillators. Blood Pressure and Blood Flow Measurement: Invasive and non-invasive methods of Blood pressure, Characteristics of blood flow and heart sound, Cardiac output measurement, Plethysmography. Respiratatory System: Mechanics of breathing, Parameters of respiration, Respiratory system measurements, Respiratory therapy instruments

7

CO1, CO2

3

Instrumentation for Measuring Nervous Function: EEG signal, frequency band classification, Lead systems, EEG recording, Clinical applications of EEG signal, X-ray CT scan, MRI, PET. Muscoskeletal systems: EMG, Clinical applications, and Muscles stimulator. Clinical Laboratory Instrumentation: Test on blood cell, Blood cell counter, Blood glucose monitors, auto analyzer, Pulse-oximeter.

7

CO3

4

Recent Trends in Biomedical Engg.: Patient care and monitoring, Non-invasive diagnostic instrumentation, Biotelemetry, Telemedicine, Prosthetic devices, Lie detector test, Application of lasers and ultrasonic in biomedical field. Troubleshooting & Electrical Safety of Biomedical Instruments: Physiological effect of current and safety measurement.

7

CO4

Course Code:

EI-PC-105

Course Name: ADVACED ELECTRIC DRIVE

L

T

P

C

3

–

–

3

Year and Semester

1^st Yr.

1^stSemester

Contact hours per week: (3Hrs)

Exam:  (3 Hrs)

Pre-requisite of course

Electrical Machines, Power Electronics

Evaluation

CIE:  40

SEE: 60

Course Objectives:

1.     To introduce the concept of types of Electric Drives.

2.     To introduce the DC Motor Drives.

3.     To introduce the AC Motor Drives.

4.     To study the Motor power rating.

5.     To implement Traction Drives.

Course Outcomes: On completion of the course, student would be able to:

CO1

To Familiarize with Dynamics and Control of Electric Drives.

CO2

To understand efficient speed control techniques in DC Motor Drives.

CO3

To understand efficient speed control techniques in AC Motor Drives.

CO4

To understand the significance and selection of power rating.

CO5

To familiarization of Load and choice of traction for suitable load.

Module No

COURSE SYLLABUS

CONTENTS OF MODULE

Hrs

COs

1

Electric Drive: Concept, classification, parts and advantages of electrical dives. Types of Loads, Components of load toques, Fundamental torque equations, Equivalent value of drive parameters for loads with rotational and translational motion. Determination of moment of inertia, Steady state stability, Transient stability. Multiquadrant operation of drives. Load equalization.

8

CO1

2

Motor power rating: Thermal model of motor for heating and cooling, classes of motor duty, determination ofmotor rating for continuous, short time and intermittent duty, equivalent current, torque and power methods of determination of rating for fluctuating and intermittent loads. Effect of load inertia & environmental factors.

Starting of Electric Drives: Effect of starting on Power supply, motor and load. Methods of stating of electric motors. Acceleration time Energy relation during stating, methods to reduce the Energy loss during starting.

Braking of Electric Drives: Types of braking, braking of DC motor, Induction motor and Synchronous motor, Energy loss during braking.

8

CO1,CO2,

3

DC motor drives: Modeling of DC motors, State space modeling, block diagram & Transfer function, Single phase, three phases fully controlled and half controlled DC drives. Dual converter control of DC drives. Power factor, supply harmonics and ripple in motor current chopper controlled DC motor drives.

Induction motor drives: Stator voltage variation by three phase controllers, Speed control using chopper resistance in the rotor circuit, slip power recovery scheme. Pulse width modulated inverter fed and current source inverter fed induction motor drive. Volts/Hertz Control, Vector or Field oriented control.

8

CO2,CO3

4

Synchronous motor drives: Variable frequency control, Self-Control, Voltage source inverter fed synchronous motor drive, Vector control.

Introduction to Solar and Battery Powered Drive, Stepper motor, Switched Reluctance motor drive.

Industrial application: Drive consideration for Textile mills, Steel rolling mills, Cement mills, Paper mills, Machine tools. Cranes & hoist drives.

8

CO4, CO5

Course Code:

EI-PC-107

Course Name: ADVANCE PROCESS CONTROL

L

T

P

C

3

–

–

3

Year and Semester

1^st Yr.

1^st Semester

Contact hours per week: (3Hrs)

Exam:  (3 Hrs)

Pre-requisite of course

Control System

Evaluation

CIE:  40

SEE: 60

Course Objectives:

1.     Study the techniques  used for PID controller tuning

2.     Development  and synthesis the feedback controllers for specified close loop response

3.     Concept and Study of FC and FO type control valve and their applications with examples, Gain of valve and concept of control valve sizing for liquid, Gas, vapour and steam. (Special reference to Masoneillian & Fisher  Equation) and study control valve cavitation and flashing phenomenon

4.     Study  and development of advance control  techniques  for process control and automation

5.     Development of  control  techniques  for  safe design of process control and automation

6.     Study  and development of  Predictive control, Statistical control,  Adaptive and Inferential

control system

Course Outcomes: On completion of the course, student would be able to:

CO1

Able to Analyze the effect of P, PI, PD and PID controllers on a control system and  design suitable controller  for a typical process

CO2

Able to understand FC and FO type control valve and Able to learn and analyze the various principles & concepts involved in valve sizing for liquid, Gas,  vapor and   steam and control valve cavitation and flashing phenomenon

CO3

Ability to  understand  analysis and development of advance control  techniques  for process control and automation

CO4

Ability to  understand  analysis and development of Predictive control, Statistical control,  Adaptive and Inferential control system techniques  for process control and automation

Module No

COURSE SYLLABUS

CONTENTS OF MODULE

Hrs

COs

1

PID controller tuning procedures: Close loop oscillation based tuning, Ziegler-Nichol close-loop method. Tuning rules for first order + dead time processes: step testing quarter decay ratio response, Ziegler-Nichol open loop method, Cohen-Coon parameters. Synthesis of feedback controllers: Development of the controller synthesis formula, specifications of close loop response, direct synthesis for minimum and non-minimum phase processes, controller modes and tuning parameters derivative mode for dead time process. Dead Time Compensation (Algorithms for Smith Predictor),    & effect of process modeling error.

10

CO1

2

Control Valve Design: Control valve flow characteristics,  Valve & process characteristics, range availability of control valve, control valve sizing for gas,  liquid, vapors and steam, Control valve cavitation and flashing, flow control cavitation index, vibration curve cavitation index, calculation of flash fraction, Control valve gain, sequencing of control valve . Valve application, selection, valve capacity testing.

8

CO2

3

Additional control techniques: Cascade control,. Selective control & Split range control, Cascade control for various processes , dynamic characteristics of Cascade control system and its tuning. Override and Auctioneering control system for various processes, Feedforward control system, Feedforward control of various processes. Design of Feedforward controllers, Feedforward –Feedback control & their relative advantages & disadvantages.

10

CO3

4

Ratio control system, Predictive control, Statistical control Adaptive and Inferential control system: Programmed Adaptive control, gain scheduling Adaptive control, Self tuning regulator (STR), MRAC, Multivariable Process Control.

9

CO4

Course Code:

EI-RM-109

Course Name: Research Methodology and IPR

L

T

P

C

2

–

–

2

Year and Semester

1^st Yr.

1^stSemester

Contact hours per week: (2Hrs)

Exam:  (3 Hrs)

Pre-requisite of course

Nil

Evaluation

CIE:  20

SEE: 30

Course Objectives

1.     To study the ideas of research methods.

2.     To study about statistical analysis and sampling.

3.     To study about regression and correlation analysis.

4.     To study about edition, tabulation and testing of hypotheses.

Course Outcomes

CO1

To formulate a route map for a particular problem or topic of  research

CO2

How to test and validate the data through statistical techniques

CO3

To implement the suitable  methods of sampling for individual problems

CO4

To compare and evaluate the results with others

CO5

To present the results with more informative details

Module No

COURSE SYLLABUS

CONTENTS OF MODULE

Hrs

COs

1

Nature and objective of the research: Methods of Research: Historical, descriptive and experimental. Alternative approaches to the study of the research problem and problem formulation. Formulation of hypotheses:  Feasibility, preparation and presentation of proposal.

8

CO1, CO5

2

Introduction to statistical analysis: Probability and probability distributions, binomial, Poisson, exponential and normal distributions, and their applications. Sampling: Primary and secondary data, their collection and validation, methods of sampling, stratified random sampling, and systematic sampling.

8

CO2 CO3

3

Regression and correlation analysis: Tests of significance based on normal, t and chi square distributions, analysis of variance. Basic Principles of design of experiments, completely randomized and randomized block designs.

8

CO2 CO3 CO4

4

Edition, tabulation, & testing of hypotheses, Interpolation of results, presentation, styles for figures, tables, text, quoting of reference and bibliography. Use of software for statistical analysis like SPSS, Mini tab or MAT lab, Report writing, preparation of thesis.

8

CO4 CO5

Course Code: EI-PRPC-101

Course Name: Process Control Lab

L

T

P

C

0

0

3

1.5

Year and Semester

1^st  Year

1^st  Semester

Contact hours per week: (3Hrs)

Exam:  (3hrs.)

Pre-requisite of course

Control Engineering Lab.

Evaluation

CIE:  20

SEE: 30

Course Objectives:

1.     To Familiarization of PLC Ladder Programming Instructions Set

2.     To compile and execute programs in Ladder Programming

3.     To study the PC and PLC based control systems

4.     To study and write PLC program for  the multiple process control systems

5.     To study and write PLC program for different strategies of control system such as feedback, feed forward, cascade, ratio control etc.

6.     To write PLC  programs to solve the different  control  problems

Course Outcomes: On completion of the course, student would be able to:

CO1

Ability to understand PC and PLC based control system and their implementation

CO2

Ability to  develop PLC Ladder Programming skill

CO3

Analyse and implement PLC Ladder Programming for different type of process control system.

CO4

Ability to design and develop PLC program for different strategies of control system such as feedback, feed forward, cascade, ratio control for control of process variables

Expt. No

COURSE SYLLABUS

CONTENTS OF MODULE

COs

1

Familiarization of PLC Ladder Programming Instructions Set

CO1,

CO2,

CO3,

CO4

2

To Study  PC Based Traffic Light Control :-

·       Basic Traffic Light Sequence

3

PLC Based Traffic Light Control:

·       PLC Connection Details

·       Dual Traffic Light Sequence

·       Traffic Counting

·       Green Time Alteration According to Traffic Flow

·       The Pedestrian Crossing

·       Complete System Control

4

To Study Process Control – Ratio,  feedback control flow & level

5

To Study Rotary Transfer Unit :-

·       Movement of Rotary Table

·       Initialization

·       Station Counting

·       Dispensing

·       A Production Line System

·       Follow a Set Routine

6

To Study Industrial Control Trainer

7

To Study Multi-process Control Trainer : Feedback, feedforward cascade and ration Control system for  flow , temperature and level control

8

To study of Pressure Control Unit :-Proportional Control : Run a loop experiments using ‘proportional only control’ with the following sets of SP and PG values. Record the eventual ‘steady state’ rate values in the table below, once the initial oscillations have decayed.

·       Proportional and Integral Control

9

To design, Level Control PC :-

·       Proportional Control

·       Proportional and Integral Control

10

To Study .Flow control PC & PLC :-                       

·       Proportional Control

·       Proportional and Integral Control

·       Saturation and Integral Windup

·       Three Term or PID Control

·       Zeigler / Nichols Tuning

11

To Study The System Rig :-

·       Proportional Control

·       Proportional and Integral Control

·       Saturation and Integral Windup

·       Three Term or PID Control

·       Ziegler / Nichols Tuning

·       Temperature Control

·       Batch Volume Control

·       Fluid Level Control

·       Open Loop Control

·       Bode Plots

·       Flow Loop Model using Caldwell’s Method

·       Flo Loop Model using Sundaresan’s Method

·       Design of Controller for PCU Flow Loop

·       PRT Signal Conditioning

·       Flowmeter Signal Conditioning

12

Process Control Experiment :- 

·       Proportional Control

·       Proportional and Integral Control

·       Saturation and Integral Windup

·       Three Term or PID Control

·       Ziegler / Nichols Tuning

·       Temperature Control

·       Batch Volume Control

·       Fluid Level Control

·       Open Loop Control

·       Bode Plots

Course Code:

EI-PE-102

Course Name: Program Elective-II

Renewable & Non-Conventional Energy (i)

L

T

P

C

3

0

–

3

Year and Semester

1^st year

2^nd  Semester

Contact hours per week: (3Hrs )

Exam:  (3hrs.)

Pre-requisite of course

Basic Electrical Engineering and  Engineering Science

Evaluation

CIE: 40

SEE: 60

Course Objectives:

1.   To familiarize the energy scenario and the consequent growth of the power generation from renewable energy and non-conventional energy sources.

2.   To study the basic engineering science of renewable and non-conventional energies sources.

3.   To study the wind and solar energy conversion systems for electrical system.

4.   To study the energy conversion techniques for nonconventional sources and applications.

Course Outcomes: On completion of the course, student would be able to:

CO1

Understand the energy scenario and the consequent growth of the power generation from renewable energy and non-conventional energy sources.

CO2

Understand the basic engineering science of renewable and non-conventional energies sources.

CO3

Understand the wind and solar energy conversion systems for electrical power system.

CO4

To understand the energy conversion techniques for nonconventional sources and applications.

Module No

COURSE SYLLABUS

CONTENTS OF MODULE

Hrs

COs

1

Introduction to Energy sources: Renewable and non-renewable energy sources, energy consumption as a measure of Nation’s development; strategy for meeting the future energy requirements Global and National scenarios, Prospects of renewable energy sources. Impact of renewable energy generation on environment, Kyoto Protocol.

7

CO1

2

Solar Energy: Solar radiation – beam and diffuse radiation, solar constant, earth sun angles, attenuation and measurement of solar radiation, local solar time, derived solar angles, sunrise, sunset and day length. flat plate collectors, concentrating collectors, Solar air heaters-types, solar driers, storage of solar energy-thermal storage, solar pond , solar water heaters, solar distillation, solar still, solar cooker, solar heating & cooling of buildings, photo voltaic – solar cells, different types of PV Cells, Mono-poly Crystalline and amorphous Silicon solar cells. Design of PV array. Efficiency and cost of PV systems & its applications. PV hybrid systems.

8

CO2,CO3

3

Wind Energy: Principle of wind energy conversion; Basic components of wind energy conversion systems; wind mill components, various types and their constructional features; design considerations of horizontal and vertical axis wind machines: analysis of aerodynamic forces acting on wind mill blades and estimation of power output; wind data and site selection considerations.

7

CO2,CO3

4

Energy from Biomass: Biomass conversion technologies, Biogas generation plants, classification, advantages and disadvantages, constructional details, site selection, digester design consideration, filling a digester for starting, maintaining biogas production, Fuel properties of bio gas, utilization of biogas.

Hydrogen Energy and Fuel cell: Introduction, Hydrogen Production methods, Hydrogen storage, hydrogen transportation, utilization of hydrogen gas, hydrogen as alternative fuel for vehicles.

Introduction, Design principle and operation of fuel cell, Types of fuel cells, conversion efficiency of fuel cell, and application of fuel cells.

9

CO2,CO4

Course Code:

EI-PE-102

Course Name: Program Elective-II

THEORY AND DESIGN OF NEURO – FUZZY CONTROLLERS (ii)

L

T

P

C

3

0

–

3

Year and Semester

1^st Year

2^nd  Semester

Contact hours per week: (3Hrs )

Exam:  (3hrs.)

Pre-requisite of course

Basic Engineering Mathematics

Evaluation

CIE: 40

SEE: 60

Course Objectives:

1.     To study and acquire the basic knowledge of neural network and fuzzy logic.   

2.     To study the basic architecture and modeling of neural network control and Fuzzy logic control.

3.     To study various types of fuzzy logic and neural network controllers.

4.     To identify, formulate and solve the neuro fuzzy logic based problems.

Course Outcomes: On completion of the course, student would be able to:

CO1

To understand basic concept and working of neural network and fuzzy logic system.

CO2

To understand the basic architecture and modeling of neural network control and Fuzzy logic control.

CO3

Able to neural network and fuzzy logic techniques in different field, which involve perception, reasoning and learning.

CO4

Analyze and design a real world problem for implementation and understand the dynamic behavior of a system.

Module No

COURSE SYLLABUS

CONTENTS OF MODULE

Hrs

COs

1

NEURAL NETWORK THEORY: Introduction, Biological neurons and their artificial models, Learning, adaptation and neural networks learning rules types of neural networks, Single layer, multiplayer, Feed forward, feedback networks; back propagation, Learning and training, Hop field network.

8

CO1,CO2

2

NEURAL NETWORKS BASED CONTROL: Neural network for non-linear systems, Schemes of neuro control, System identification forward model and inverse model, Indirect learning neural network control applications, Case studies.

8

CO2,CO3,CO4

3

FUZZY LOGIC THEORY : Fuzzy sets ,Fuzzy operation , Fuzzy arithmetic, Fuzzy relations ,Fuzzy relational equations, Fuzzy measure, Fuzzy functions , Approximate reasoning ,Fuzzy propositions ,Fuzzy quantifiers , If–then rules.

8

CO1

4

FUZZY LOGICBASED CONTROL: Structure of fuzzy logic controller, Fuzzification models, Database, Rule base  Inference engine, defuzzification, Module ,Non-linear fuzzy control, PID like FLC, Sliding mode FLC, Sugeno FLC, Adaptive fuzzy control , Fuzzy control applications case studies.

8

CO2,CO3,CO4

Course Code:

EI-PE-102

Course Name: Program Elective-II

DIGITAL CONTROL SYSTEM (iii)

L

T

P

C

3

–

–

3

Year and Semester

1^st Yr.

2^nd  Semester

Contact hours per week: (3Hrs)

Exam:  (3 Hrs)

Pre-requisite of course

Control System

Evaluation

CIE:  40

SEE: 60

Course Objectives:

1.     Study the digital control system details: Signal flow graph, Time domain analysis, correlation between time response & root location in S & Z transform and stability in Z-plane

2.     Study the digital control system design by various methods in Z-plane

3.     Study of techniques for analysis of nonlinear system, concept of local, global, asymptotic and total stability of nonlinear system, Liapunov’s stability criterion.

4.     Study of Tuning procedure for PID controllers and Design considerations for Robust control.

5.     Study the concept, analysis and design of Adaptive and Learning system.  

Course Outcomes: On completion of the course, student would be able to:

CO1

Ability to understand the concept, analyze the Digital control system and their stability

CO2

Ability to  understand the digital control system design by various methods in Z-plane

CO3

Ability to  understand the techniques for analysis of nonlinear system and their stability criterion

CO4

Ability to understand and skill of   the Tuning procedure for PID controllers and Designing of Robust  control. 

CO5

Ability to understand the concept, analysis and design of Adaptive and Learning system

Module No

COURSE SYLLABUS

CONTENTS OF MODULE

Hrs

COs

1

DIGITAL CONTROL: Introduction to digital control, sampling, Data reconstruction principles, Pulse transfer functions, Block diagram & signal flow graph, Digital Control Techniques-PID, Deadbeat. Time domain analysis, correlation between time response & root location in S & Z transform, effect of pole-zero configuration in Z-plane on maximum overshoot & peak time transient response, Stability in Z-plane using modified Rouths criteria, Jury’s criteria.

10

CO1

2

Digital control system design : Design by Emulation, Direct design by root locus in z-plane, Frequency response method, Direct design method by Ragazzini.

NON LINEAR CONTROL SYSTEM: Introduction to nonlinear feedback control system, special features of linear system; limit cycle, jump response, sub harmonics etc., describing function and phase plane techniques for analysis of nonlinear system, concept of local, global, asymptotic and total stability of nonlinear system, Liapunov’s stability criterion.

11

CO2

CO3

3

PID CONTROL AND ROBUST CONTROL:  Tuning procedure for PID controllers, modification of PID control schemes, two degrees of freedom control. Design considerations for Robust control.

8

CO4

4

ADAPTIVE AND LEARNING CONTROL SYSTEMS: Basic Principles of Adaptive and Learning Control Systems, Model Reference Adaptive Control, Types of Learning-Supervised and Unsupervised Learning Control Systems, On-line and Off-line Learning Control Systems.

8

CO5

Course Code:

EI-PE-102

Course Name: Program Elective-II

HVDC TRANSMISSION SYSTEM (iv)

L

T

P

C

3

0

–

3

Year and Semester

1^st year

2^nd Semester

Contact hours per week: (3Hrs )

Exam:  (3hrs.)

Pre-requisite of course

Power Electronics and Power System Engineering

Evaluation

CIE: 40

SEE: 60

Course Objectives:

1.     To study the basic concept, working theory and constructional detail of Direct Current (DC) power transmission line.

2.     To study the power converter interface and analysis in HVDC transmission line.

3.     To study the power converter controller in HVDC transmission line

4.     To study the effect of reactor and protection of DC line.

Course Outcomes: On completion of the course, student would be able to:

CO1

To understand the basic concept, working theory and constructional detail of Direct Current (DC) power transmission line.

CO2

To impart technical knowledge of power converter interface and analysis in HVDC transmission line.

CO3

To apprise with  power converter control system  in HVDC transmission line

CO4

To understand the effect of reactor and protection of DC line.

Module No

COURSE SYLLABUS

CONTENTS OF MODULE

Hrs

COs

1

Direct Current (DC) power transmission technology: Introduction, comparison of Alternating Current (AC) and Direct Current (DC) transmission, application of DC transmission, application of DC transmission, description of DC transmission system, Configurations, planning for High Voltage Direct Current (HVDC) transmission, modern trends in DC transmission. Introduction to Device: Thyristor valve, valve tests, recent trends.

6

CO1

2

Analysis of High Voltage Direct Current (HVDC) converters: Pulse number, choice of converter configuration, simplified analysis of Graetz circuit, converter bridge characteristics, and characteristics of a twelve-pulse converter, detailed analysis of converters with and without overlap.

8

CO1,

CO2

3

Converter and HVDC system control: General, principles of DC link control, converter control characteristics, system control hierarchy, firing angle control, current and extinction angle control, starting and stopping of DC link, power control, higher level controllers, telecommunication requirements. Converter faults and protection: Introduction, converter faults, protection against over-currents, over-voltages in a converter station, surge arresters, protection against over-voltages.

8

CO2,

CO3

4

Smoothing reactor and DC line: Introduction, smoothing reactors, DC line, transient over voltages in DC line, protection of DC line, DC breakers, Mono-polar operation, effects of proximity of AC and DC transmission lines.

6

CO4

Course Code:

EI-PE-102

Course Name: Program Elective-II

ENERGY MANAGEMENT (v)

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T

P

C

3

–

–

3

Year and Semester

1^st Yr.

2^ndSemester

Contact hours per week: (3Hrs)

Exam:  (3 Hrs)

Pre-requisite of course

Electrical Machine, Electrical Measurements and Instruments

Evaluation

CIE:  40

SEE: 60

Course Objectives:

1.     To introduce the various energy systems.

2.     To study the basics theory, and operation of renewable system.

3.     To study the concept ofenergy conservation and management.

4.     To study various techniques for energy conservationand its management.

Course Outcomes: On completion of the course, student would be able to:

CO1

To familiarize with the various energy systems.

CO2

To understand the basics theory, operation renewable system.

CO3

 To impart basic technical knowledge theenergy conservation system and management.

CO4

 To learn the role of various techniques used for energy conservationsystem and its management.

Module No

COURSE SYLLABUS

CONTENTS OF MODULE

Hrs

COs

1

INTRODUCTION: Various Sources of Energy, Conventional and non- Conventional energy, Concept and Classification of Renewable energy, Concept of Energy Conservation and Energy Management, Present Energy Scenario in India (Conventional and non- Conventional energy).

7

CO1

2

RENEWABLE ENERGY SOURCES: Potential and Utilization status of Renewable Energy in India, Solar Energy: Solar Water Heater Systems, Solar Air dryer Systems, Solar Photo-voltaic Systems, Solar Cookers and Solar ponds, Wind Energy: Selection Criteria for Wind farms, Wind Mills, Bio Gas Plants-Construction and Operation, Bio Mass Gasification, Bio Mass Briquetting; Mini and Micro Hydel Power Plants, Geo-Thermal Energy, Ocean Energy.

8

CO2

3

ENERGY CONSERVATION AND MANAGEMENT: Actual energy requirement assessment techniques of any industry and energy consumption status, possibility of reduction of energy consumption by using various energy conservation techniques or equipments e.g. variable speed drives, constant voltage transformers, electronic chokes, CFLs etc.

7

CO3

4

ENERGY CONSERVATION INSTRUMENTATION:Importance of instrumentation and control techniques in the energy conservation and management, SCADA systems, Instruments required to carry out energy audit exercise, optimal mixing of renewable energy sources and load rationalization for reducing load on conventional energy sources.

7

CO4

Course Code:

EI-PE-102

Course Name: Program Elective-II

PROCESS MODELLING AND CONTROL (vi)

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T

P

C

3

–

–

3

Year and Semester

1^st Yr.

2^nd Semester

Contact hours per week: (3 Hrs)

Exam:  (3 Hrs)

Pre-requisite of course

Mathematics, Control System

Evaluation

CIE:  40

SEE: 60

Course Objectives:

1.     Study the Mathematical Modelling, Process dynamic of various type of processes.

2.     Simulation and Modelling of different process control system

3.     Study of  various control system Models and Design of cross controllers and selection of loop using RGA.

4.     Study the concept, analysis and design of Adaptive and Learning system.  

5.     Study the concept, analysis and design of Real time control system

6.     Study of Distributed computing systems, Software Process models

Course Outcomes: On completion of the course, student would be able to:

CO1

Ability to understand and to derive Modelling, Process dynamic of various type of processes.

CO2

Ability to understand the various control system Models and Design of cross controllers and selection of loop using RGA.

CO3

Ability to understand concept, analysis and design of Adaptive and Learning system.  

CO4

Ability to understand concept, analysis and design of Real time control system

CO5

Ability to implement new and emerging technologies to analyze, design, maintain reliable, safe, and cost effective solution for industry problems.

Module No

COURSE SYLLABUS

CONTENTS OF MODULE

Hrs

COs

1

Simulation and Modelling: Importance of Simulation, Mathematical Modelling, Process dynamic of fluid flow and heat transfer system, Mass transfer dynamics and distillation column, Reaction kinetics of chemical processes. Process control aim and objectives classification of process control system, techniques for process control. Modelling and simulation for plant Automation-case studies.

8

CO1

2

Predictive control system:  Model based control system (Internal mode control, Model Predictive control and Process Model based control), Plant wide Control, Inferential control, Multiple-loop (Multivariable) control system.  Interaction and Decoupling of control loops. Design of cross controllers and selection of loop using RGA. Prosperities and application of RGA.

10

CO2

3

ADAPTIVE AND LEARNING CONTROL SYSTEM: Basic principles of Adaptive and learning systems, MRAC & STAC, Adaptive control techniques, Types of Learning- Supervised and Unsupervised Learning control system, On-line and Off-line Learning control system.

10

CO3

CO5

4

Real time control system: Characteristics and classes of real time systems, program classification: Sequential, multitasking real time, concurrency and synchronization. Design strategies, Reability, fault detection, fault tolerance real time operating system, Distributed computing systems, Software Process models ( Build and mix model, waterfall, rapid prototyping, Incremental and Spiral model) Design techniques and tools

10

CO4

CO5

Course Code:

EI-PC-104

Course Name: Power Quality Monitoring and Conditioning

L

T

P

C

3

–

–

3

Year and Semester

1^st Year.

2^nd Semester

Contact hours per week: ( 3Hrs)

Exam:  (3 Hrs)

Pre-requisite of course

Power System, Electrical Machines

Evaluation

CIE:  40

SEE: 60

Course Objectives:

1.     To familiarize the students about different power quality issues to be resolved.

2.     To understand the convention codes /guidelines issues by bodies like IEEE, IEC etc related to voltage, frequency and harmonics.

3.     To mentor the students about methods of power quality assessment.

4.     To monitor the power quality in the power system.

5.     To model a system for power quality enhancement.

Course Outcomes: On completion of the course, student would be able to:

CO1

Have  the knowledge of   various power quality issues in power system.

CO2

Work with international standards/guidelines related to power quality issues.

CO3

Quantitative analysis of power quality in system.

CO4

Monitor the power quality through measurement of various system parameters.

CO5

Decide the compensators and filters to keep the power quality indices within the standards.

Module No

COURSE SYLLABUS

CONTENTS OF MODULE

Hrs

Cos

1

UNIT I – POWER QUALITY – AN OVERVIEW: Power Quality definition, PQ characterization: Transients, short duration and long duration voltage variations, Voltage imbalance, waveform distortion, Voltage fluctuations, Power frequency variation–Power acceptability curves: CBEMA, ITIC – Sources for Electric Power Quality problem in power system: poor load power factor, Nonlinear and unbalanced loads, DC offset in loads, Notching in load voltage, Disturbance in supply voltage – Power quality standards and Guidelines.

6

CO1

2

VOLTAGE VARIATIONS: Voltage Sags – Magnitude & duration-Types- Sources of sags – Estimation of Voltage sag performance: Transmission system and Utility distribution system, Effect of sag on AC Motor Drives, Single-Phase Domestic and Office Loads, Monitoring and mitigation of voltage sag. Origin of Long & Short interruption -influence on various equipment.

7

CO2

3

POWER QUALITY ANALYSIS: Measurements of Voltage, Current, Power, Energy, power factor- Time domain methods and Frequency domain methods: Laplace’s, Fourier and Hartley transform – The Walsh Transform – Wavelet Transform. Harmonic Distortion, Voltage versus Current Distortion, Harmonics versus Transients, Harmonic Indexes, Harmonic Sources from Commercial Loads, Harmonic Sources from Industrial Loads.

7

CO3

4

POWER QUALITY MONITORING: Monitoring considerations: Power line disturbance analyser, power quality measurement equipment, harmonic / spectrum analyser, flicker meters, disturbance analyser. Analysis of power outages, Analysis of unbalance: Symmetrical components of phasor quantities, Instantaneous symmetrical components, Instantaneous real and reactive powers, Analysis of distortion: On–line extraction of fundamental sequence components from measured samples

8

CO4

5

POWER QUALITY ENHANCEMENT: Harmonic filters: passive, Active and hybrid filters – Custom power devices: Load compensation using DSTATCOM, Voltage regulation using DSTATCOM, protecting sensitive loads using DVR, UPQC –control strategies: P-Q theory, Synchronous detection method – Custom power park.

8

CO5

Course Code:

EI-PC-106

Course Name: PLC & DCS

L

T

P

C

3

–

–

3

Year and Semester

1^st Yr.

2^nd Semester

Contact hours per week: (3 Hrs)

Exam:  (3 Hrs)

Pre-requisite of course

Control System

Evaluation

CIE:  40

SEE: 60

Course Objectives:

1.     Study the concept of Direct Digital Control

2.     Study and development of position and velocity control algorithm and their applications in

3.     different control schemes

4.     Study the characteristic function of PLC, its Architecture and various PLC programming languages and Demonstrate various PLC programming skill for industrial applications.

5.     Detail study and applications of  Distributed process control system and Understanding of various automotive standards and Protocols used in PLC network and DCS

6.     Study DCS supervisory control techniques & considerations(Algorithms), Concept of field buses and their applications

7.     Detail study and applications of  Supervisory control and Data Acquisition system(SCADA)

Course Outcomes: On completion of the course, student would be able to:

CO1

Ability to understand the concept of Direct digital control and able to development position and velocity control algorithm and their applications in different control schemes

CO2

 Able to learn the various PLC programming languages and Demonstrate various PLC programming skill for industrial applications.

CO3

Able to learn and analyze the various principles & concepts  of Distributed process control system and Understanding of   various automotive standards and Protocols used in PLC network and DCS

CO4

Acquire the knowledge of DCS supervisory control techniques, the concept of field buses and their Industrial applications.

CO5

To implement new and emerging technologies to analyze, design, maintain reliable, safe, and cost effective solution for industry problems.

Module No

COURSE SYLLABUS

CONTENTS OF MODULE

Hrs

COs

1

Direct Digital Control – Structure and Software: The position algorithm (simplifying PID control equation, deriving position algorithm); the velocity algorithm (velocity algorithm, deriving the velocity algorithm); Multi variable control (Cascade control using velocity algorithm, radio control using velocity algorithm).

8

CO1

2

Discrete State Process Control System: Development and analysis of ladder diagram, logic diagram from ladder diagram, Function description of PLC, Programming fundamentals , hardware and system sizing and selection, PLC peripherals, programming, PLC networking, PLC programmable languages, ladder diagrams language, Boolean mnemonics language, functional block language, PLCs.

10

CO2

CO3

3

Distributed Process Control System: Functional requirement of DPCS, DCS configurations/ architecture, data highway cables, field buses, protocols used in DCS, Software configuration: controller function configuration, multiplexer and party line system.

10

CO3

CO4

CO5

4

Supervisory control and Data Acquisition system (Functions of SCADA, channel scanning, conversion to engineering units, data processing, distributed SCADA system, Remote terminal unit). DCS supervisory computer and configurations: supervisory computer function, supervisory control techniques and consideration, Supervisory control algorithm, DCS system integration with PLC and computer. Fiber optic local area networks – map and top. Popular Distributed Control Systems: CP 80 system.

9

CO3

CO4

CO5

Course Code:

EI-PC-108

Course Name: Embedded System Design

L

T

P

C

3

–

–

3

Year and Semester

1^st Yr.

2^nd Semester

Contact hours per week: (3 Hrs)

Exam:  (3 Hrs)

Pre-requisite of course

Microprocessor and Microcontrollers

Evaluation

CIE:  40

SEE: 60

Course Objectives:

1.     To provide an overview of Design Principles of Embedded System.

2.     To provide clear understanding about the role of firmware, operating systems in correlation with hardware systems.

Course Outcomes: On completion of the course, student would be able to:

CO1

Expected to understand the selection procedure of Processors in the Embedded domain.

CO2

Design Procedure for Embedded Firmware.

CO3

Expected to visualize the role of Real time Operating Systems in Embedded Systems

CO4

Expected to evaluate the Correlation between task synchronization and latency issues

Module No

COURSE SYLLABUS

CONTENTS OF MODULE

Hrs

COs

1

Introduction to Embedded Systems: Definition of Embedded System, Embedded Systems Vs General Computing Systems, History of Embedded Systems, Classification, Major Application Areas, Purpose of Embedded Systems, Characteristics and Quality Attributes of Embedded Systems.

7

CO1

2

Typical Embedded System: Core of the Embedded System: General Purpose and Domain Specific Processors, ASICs, PLDs, Commercial Off-The-Shelf Components (COTS), Memory: ROM, RAM, Memory according to the type of Interface, Memory Shadowing, Memory selection for Embedded Systems, Sensors and Actuators, Communication Interface: Onboard and External Communication Interfaces.

8

CO1CO2

3

Embedded Firmware: Reset Circuit, Brown-out Protection Circuit, Oscillator Unit, Real Time Clock, Watchdog Timer, Embedded Firmware Design Approaches and Development Languages.

7

CO2

CO3

4

RTOS Based Embedded System Design: Operating System Basics, Types of Operating Systems, Tasks, Process and Threads, Multiprocessing and Multitasking, Task Scheduling.

6

CO3

5

Task Communication: Shared Memory, Message Passing, Remote Procedure Call and Sockets, Task Synchronization: Task Communication/ Synchronization Issues, Task Synchronization Techniques, Device Drivers, How to Choose an RTOS.

8

CO3

CO4

Course Code:

EI-PC-110

Course Name: ADVACED POWER SYSTEM

L

T

P

C

3

0

–

3

Year and Semester

1^st  year

2^nd Semester

Contact hours per week: (3Hrs )

Exam:  (3hrs.)

Pre-requisite of course

Basics of Power System

Evaluation

CIE: 40

SEE: 60

Course Objectives:

1.     To study basics PU theory and modelling of electrical networks.

2.     To study working of theory of load flow parameters and its methods.

3.     To study the transient phenomena and type of faults in power system.

4.     To introduce the concept of transient stability theory and its method.

Course Outcomes: On completion of the course, student would be able to:

CO1

To understand the basic concept of PU system for electrical circuits and its modellings.

CO2

To impart basic technical knowledge of load flow studies and its iteration solution methods.

CO3

To understand and analyze various types of faults for different electrical equipments.

CO4

To impart a technical knowledge of transient stability in electrical system and solution of its stability equations.

Module No

COURSE SYLLABUS

CONTENTS OF MODULE

Hrs

COs

1

SYSTEM MODELLING: System modelling of synchronous machines, transformers, loads etc, per unit system, single line diagram of electrical networks, single phase impedance diagrams. Formulation of impedance and admittance matrices for the electrical networks.

8

CO1

2

LOAD FLOW STUDIES: Data for the load flow studies, Swing Bus, Formulation of simultaneous equations, Iterative solutions by the Gauss-Seidal method and Newton Raphson Method.

8

CO2

3

FAULT ANALYSIS: Transients on transmission line, short circuit of synchronous machine, selection of circuit breakers, Algorithm for short circuit studies, Symmetrical Component transformation, and construction of sequence networks of power systems. Symmetrical Analysis of Unsymmetrical Line-to-ground (LG), Line-to line (LL), double line to ground (LLG) faults using symmetrical components.

8

CO3

4

POWER SYSTEM STABILITY: Steady state stability, Dynamics of a synchronous machine, Power angle equations, Transient stability, equal area criterion, Numerical solution of swing equation , factors effecting transient stability.

8

CO4

Course Code:

EI-PRPC -102

Course Name: Advanced Power System Lab

L

T

P

C

0

0

3

1.5

Year and Semester

1^st   Year

2^nd  Semester

Contact hours per week: (3 Hrs )

Exam:  (3hrs.)

Pre-requisite of course

Basic of Power System

Evaluation

CIE:  20

SEE:30

Course Objectives:

1.     To study the various parameters of power system like ABCD, Y-Bus, Z-Bus.

2.     To learn different methods for load flow analysis.

3.     To learn fault analysis methods

4.     To learn transient stability methods

Course Outcomes: On completion of the course, student would be able to:

CO1

To apprise with the various parameters of power system like ABCD, Y-Bus, Z-Bus.

CO2

To develop a technical skill to analyze the load flow in power system

CO3

To develop a technical skill to analyze the transient stability of electrical system.

CO4

To analyze the performance of the transmission line system.

Expt. No

COURSE SYLLABUS

COs

CONTENTS OF MODULE

1

To compute ABCD parameters and Regulation of a 3-Φ transmission line model.

CO1

CO2

CO3

CO4

2

To study Formation of Admittance Matrices (Y-BUS).

3

 To study Formation of Impedance Matrices (Z-BUS).

4

To study Load Flow Analysis using GAUSS SEIDAL Method.

5

 To study Load Flow Analysis using NEWTON-RAPHSON Method.

6

 To perform Short circuit analysis of 3-Φ synchronous machine.

7

 To study Power circle diagrams of a 3-Φ transmission line model.

8

To perform Transient Stability Analysis for Single Machine connected to Infinite Bus by Point by Point method.

9

To study Load – Frequency Dynamics of Single Area Power Systems.

10

 To study Load – Frequency Dynamics of Two Area Power Systems.

Course Code:

EI-PRPC-104

Course Name: Embedded Systems Lab

L

T

P

C

–

–

3

1.5

Year and Semester

1^st Yr.

2^nd Semester

Contact hours per week: (3 Hrs )

Exam:  (3 Hrs)

Pre-requisite of course

Microprocessor and Microcontrollers

Evaluation

CIE:  20

SEE: 30

Course Objectives:

1.     To provide an overview of Design Principles of Embedded System.

2.     To provide clear understanding about the role of firmware, operating systems in correlation with hardware systems.

Course Outcomes: On completion of the course, student would be able to:

CO1

Expected to understand the selection procedure of Processors in the Embedded domain.

CO2

Design Procedure for Embedded Firmware.

CO3

Expected to visualize the role of Real time Operating Systems in Embedded Systems

CO4

Expected to evaluate the Correlation between task synchronization and latency issues

Expt. No

COURSE SYLLABUS

COs

CONTENTS OF MODULE

1

Functional Testing Of Devices: Flashing the OS on to the device into a stable functional state by porting desktop environment with necessary packages.

CO1

CO2

CO3

CO4

2

Exporting Display On To Other Systems: Making use of available laptop/desktop displays as a display for the device using SSH client & X11 display server.

3

GPIO Programming: Programming of available GPIO pins of the corresponding device using native programming language. Interfacing of I/O devices like LED/Switch etc., and testing the functionality.

4

Interfacing Chronos eZ430: Chronos device is a programmable texas instruments watch which can be used for multiple purposes like PPT control, Mouse operations etc., Exploit the features of the device by interfacing with devices.

5

ON/OFF Control Based On Light Intensity: Using the light sensors, monitor the surrounding light intensity & automatically turn ON/OFF the high intensity LED’s by taking some pre-defined threshold light intensity value.

6

Battery Voltage Range Indicator: Monitor the voltage level of the battery and indicating the same using multiple LED’s (for ex: for 3V battery and 3 LED’s, turn on 3 LED’s for 2-3V, 2 LED’s for 1-2V, 1 led for 0.1-1V & turn off all for 0V)

7

Dice Game Simulation: Instead of using the conventional dice, generate a random value similar to dice value and display the same using a 16X2 LCD. A possible extension could be to provide the user with option of selecting single or double dice game.

8

Displaying RSS News Feed On Display Interface: Displaying the RSS news feed headlines on a LCD display connected to device. This can be adapted to other websites like twitter or other information websites. Python can be used to acquire data from the internet.

9

Porting Openwrt To the Device: Attempt to use the device while connecting to a wifi network using a USB dongle and at the same time providing a wireless access point to the dongle.

10

Hosting a website on Board: Building and hosting a simple website (static/dynamic) on the device and make it accessible online. There is a need to install server (eg: Apache) and thereby host the website.

11

Webcam Server: Interfacing the regular usb webcam with the device and turn it into fully functional IP webcam & test the functionality.

12

FM Transmission: Transforming the device into a regular fm transmitter capable of transmitting audio at desired frequency (generally 88-108 Mhz)

Note: Devices mentioned in the above lists include Arduino, Raspbery Pi, Beaglebone

Cycle 1: Programming in 8051

1

Study of 8051 Evaluation Board Trainer kit and Keil IDE Software Tool.

2

Serial Data Transmission

3

Interface switches and LEDs

4

Interface LCD

5

Interface 4*4 matrix keyboard

6

Interface stepper motor

7

Interface 7 Segment Display using I2C

8

ADC, DAC Interface

Cycle 2: Programming in PIC Processor

9

Configure and Control General Purpose I/O Pins

10

Interfacing LED & Switch Interface

11

2*16 LCD Display

12

Serial Communication

13

I2C Interface & EEPROM Interface

14

Buzzer Interface

15

SD-MMC Card Interface

Note: all the experiments are to be carried out independently by each student with different specifications. At least 12 experiments are to be carried out.

Course Code:

EI-PC-201

Course Name: Smart & Micro Sensor Design

L

T

P

C

3

–

–

3

Year and Semester

2^nd Yr.

3^rd Semester

Contact hours per week: (3 Hrs)

Exam:  (3 Hrs)

Pre-requisite of course

VLSI Design

Evaluation

CIE:  40

SEE: 60

Course Objectives:

3.     It aims to equip the students with MEMS fabrication

4.     To provide adequate knowledge about tools at an intermediate to advanced level.

5.     To provide exposure to students towards advanced level of sensors

Course Outcomes: On completion of the course, student would be able to:

CO1

Understand of MEMS fabrication

CO2

Apply various fabrication procedures

CO3

Analyze the design of sensors

CO4

Design and develop smart and intelligent systems

Module No

COURSE SYLLABUS

CONTENTS OF MODULE

Hrs

COs

1

MEMS: Introduction, principle of MEMS, Example of Mems, small and large scaling, fabrication technology, micromachining: photolithography, thin film deposition and doping, wet chemical etching, waferbonding, plasma etching, surface micromachining.

8

CO1, CO2

2

Mechanics of Membrane and beams: dynamics, string, beams, diaphragms and membrane Transduction of Deformation: Metal strain gauges, Semiconductor Strain Gauges, Capacitive Transducers, Force and Pressure sensors: Force Sensors, Pressure sensors, Thermocouples Semi conducting Thermo resistors, Fiber Optical sensors, concept of smart and intelligent sensor, bio sensors.

8

CO3,CO4

3

Acceleration Sensors: introduction, Bulk Michromachined Accelerometers, surface Michromachined accelerometers, force feedback, angular rate sensors, Flow Sensors: The laminar boundary layer, Heat Transport in the limit of very small Reynolds Numbers, Thermal Flow Sensors, Skin Friction Sensors, Dry fluid Flow Sensors, wet fluid flow sensors, Resonant Sensors: Basic principle and physics.

8

CO3

4

Definition of intelligence and of intelligent instrumentation system: Features characterizing intelligence and Features intelligent instrumentation, component of intelligent instrumentation. Design of intelligent instrumentation systems.

Smart and Intelligent transmitters, smart features standard for smart sensing, setting standards for smart sensors and system, IEEE 1451.1, IEEE 1451.2, STIM, IEEE P1451.3, IEEEP 1451.4, Field buses systems.

8

CO4

Course Code:

EI-PE-203

Course Name: Program Elective-III

DIGITAL SIGNAL PROCESSING (i)

L

T

P

C

3

0

–

3

Year and Semester

2^nd  year

3^rd Semester

Contact hours per week: (3Hrs )

Exam:  (3hrs.)

Pre-requisite of course

Basic Engineering Mathematics

Evaluation

CIE: 40

SEE: 60

Course Objectives:

1.    To study the discrete linear Time Invariant systems in Z domain and in frequency domain.

2.    To study the basic of Discrete-Fourier Transform (DFT), Fast Fourier Transform (FFT) algorithms and its application.

3.    To study different structure realization of Finite Impulse Response systems and Finite Impulse Response systems.

4.    To study the digital filters for filtering applications. 

5.    To study the Multi-rate digital Signal Processing techniques and its applications

Course Outcomes: On completion of the course, student would be able to:

CO1

To analyze the Discrete linear Time Invariant systems in Z domain and in frequency domain.

CO2

To understand the different structure realization of Finite Impulse Response systems and Finite Impulse Response systems.

CO3

To learn the basic of Discrete-Fourier Transform (DFT), Fast Fourier Transform (FFT) algorithms and its applications.

CO4

To Design digital filters for filtering applications. 

CO5

To apprise with Multi-rate Signal Processing techniques.

Module No

COURSE SYLLABUS

CONTENTS OF MODULE

Hrs

COs

1

Introduction of Discrete Time Signals and Systems: Discrete time systems, Analysis of discrete time linear time-invariant systems, Discrete time systems described by difference equations, Implementation of discrete system, Correlation of discrete time signals, Z-transform and properties of Z-transform, Rational Z-transformation, Inverse Z-transform, Analysis of linear time invariant systems in Z-domain.

Frequency Analysis of Signals and Systems: Frequency analysis of continuous time signals, Frequency analysis of discrete time signals, Properties of Fourier Transform for discrete time signals, Frequency domain characteristics of linear time invariant systems, linear invariant systems as frequency selective filters.

8

CO1

2

The Discrete Fourier Transform: Frequency domain sampling, Properties of Discrete Fourier Transform (DFT), discrete Frequency analysis of signals using the DFT.FFT algorithm : Decimation-in-time (DIT) algorithm and Decimation-in-frequency(DIF) algorithm, Linear filtering methods based on DFT.

Realization of digital systems: Structure realizations methods of FIR and IIR system.

8

CO2, CO3

3

Design of Digital Filters: Generalized characteristics of discrete filters, Design of Finite Impulse Response (FIR) filters, FIR digital filter design using Fourier series method, window design techniques. Optimal equi-ripple design techniques, frequency sampling design techniques. Design of Infinite Impulse Response (IIR) filters from analog filters, Comparison of IIR and FIR filters.

8

CO4

4

Multirate Digital Signal Processing: Introduction, decimation by a factor D, Interpolation by a factor I, sampling rate conversion by a rational factor I/D, implementation of sampling rate conversion, multistage implementation of sampling rate conversion, sampling rate conversion of Band pass signals, sampling rate conversion by an arbitrary factor, applications of multi rate signal processing.

8

CO5

Course Code:

EI-PE-203

Course Name: Program Elective-III

Reliability Engineering (iii)

L

T

P

C

3

0

–

3

Year and Semester

2^nd Year

3^rd Semester

Contact hours per week: (3 Hrs )

Exam:  (3 hrs.)

Pre-requisite of course

Basic Engineering Mathematics

Evaluation

CIE: 40

SEE: 60

Course Objectives:

1.     To study the basic concept of reliability, maintainability and availability engineering.

2.     To study the evaluation techniques of engineering models and reliability improvement methods.

3.     To study the concept of fault tree analysis and optimization techniques.

4.     To study evaluation model for reliability, maintainability, availability testing.

5.     To study the applications of fuzzy theory and neural networks to reliability engineering,

Course Outcomes: On completion of the course, student would be able to:

CO1

To understand the basic concept of reliability, maintainability and availability engineering.

CO2

To understand the evaluation techniques of engineering models and reliability improvement methods.

CO3

To learn the fault tree analysis and optimization techniques.

CO4

Ability to do testing and evaluate the reliability, maintainability, availability of engineering models.

CO5

To study the applications of fuzzy theory and neural networks to reliability engineering,

Module No

COURSE SYLLABUS

CONTENTS OF MODULE

Hrs

COs

1

Review of basic concepts in reliability engineering, reliability function, different reliability models etc., and reliability evaluation techniques for complex system: Non path set and cutest approaches, path set and cut set approaches, different reliability measures and performance indices, modeling and reliability evaluation of system subjected to common cause failures.

7

CO1

2

Reliability improvement, Reliability allocation/apportionment and redundancy optimization techniques, Fault tree analysis.

7

CO2, CO3

3

Maintainability Analysis: measure of system performance, types of maintenance, reliability centered maintenance, reliability and availability evaluation of engineering systems using Markov models. Reliability testing,Design for reliability and maintainability.

7

CO1,CO4

4

Applications of fuzzy theory and neural networks to reliability engineering,Typical reliability case studies.

7

CO5

Course Code:

EI-PE-203

Course Name: Program Elective-III,

Electrical Vehicle Engineering (iv)

L

T

P

C

3

0

–

3

Year and Semester

2^nd Year

3^rd Semester

Contact hours per week: (3Hrs )

Exam:  (3hrs.)

Pre-requisite of course

Electrical Machines, Power Electronics, Basic Science Engineering

Evaluation

CIE: 40

SEE: 60

Course Objectives:

1.     To introduce the upcoming technology of electric and hybrid system

2.     To study the basics theory, operation and modeling of electric Hybrid system.

3.     To study different topologies of electric Hybrid system

4.     To study electric propulsion system in electric hybrid system

Course Outcomes: On completion of the course, student would be able to:

CO1

To familiarize with upcoming technology of electric and hybrid system

CO2

To understand the basics theory, operation and modeling of electric Hybrid system.

CO3

 To understand and analyze different drive train topologies electric of Hybrid system.

CO4

 To learn the role of electric propulsion system in electric hybrid system andits application.

CO5

To impart basic technical knowledge of electric hybrid vehicle system and apply it to technological fields.

Module No

COURSE SYLLABUS

CONTENTS OF MODULE

Hrs

COs

1

Introduction: Introduction to hybrid electric vehicles: history of hybrid and electric vehicles, social and environmental importance of hybrid and electric vehicles, impact of modern drive-trains on energy supplies. Conventional vehicles: basics of vehicle performance, vehicle power source characterization, transmission characteristics, and mathematical models to describe vehicle performance.                       

7

CO1, CO2

2

Hybrid Electric Drive: Hybrid electric drive-trains: basic concept of hybrid traction, introduction to various hybrid drive-train topologies, power flow control in hybrid drive-train topologies, fuel efficiency analysis.

7

CO3

3

Electric Propulsion Unit: Introduction to electric components used in hybrid and electric vehicles, configuration and control of DC motor drives, configuration and control of induction motor drives, configuration and control of permanent magnet motor drives, configuration and control of switch reluctance motor drives, drive system efficiency.

7

CO4

4

Case Studies: Design of a hybrid electric vehicle (HEV), design of a battery electric vehicle (BEV).           

5

CO5

Course Code:

EI-PE-203

Course Name: Program Elective III

System Theory (v)

L

T

P

C

3

–

–

3

Year and Semester

2^nd Yr.

3^rd Semester

Contact hours per week: (3 Hrs)

Exam:  (3 Hrs)

Pre-requisite of course

Control Systems

Evaluation

CIE:  40

SEE: 60

Course Objectives:

1.     It aims to equip the students with advanced concepts of control

2.     To provide adequate knowledge about tools at an intermediate to advanced level.

3.     To provide students to serve them well towards tackling more advanced level of control systems problems.

4.     To provide knowledge about different aspects like stability, controllability and observability.

Course Outcomes: On completion of the course, student would be able to:

CO1

Develop various models of control systems

CO2

Evaluate controllability of the systems

CO3

Evaluate observabilty of the systems

CO4

Evaluate stability of the systems

CO5

Develop state models of the systems

Module No

COURSE SYLLABUS

CONTENTS OF MODULE

Hrs

COs

1

Controllability & Observability: Introduction, general concept of controllability, general concept of observability, controllability tests for continuous time systems, observability tests for continuous time systems, controllability & observability for discrete time systems, controllability & observability of state model in Jordan canonical form, loss of controllability & observability due to sampling, controllability & observability canonical forms of state model.

8

CO1, CO2, CO3

2

State variables and input output descriptions: introduction, input output maps from state models, LTI continuous time systems, LTI discrete time systems, linear time varying systems, output controllability, reducibility, state model from input output maps realization of scalar transfer functions, phase variable canonical forms, realization of transfer function matrices, realization of pulse transfer functions.

8

CO1, CO5

3

Stability: Introduction, equilibrium points, stability concepts and definitions, stability of linear time invariant systems, equilibrium stability of non-linear continuous time autonomous systems, direct method of Lyapunov and the linear continuous time autonomous systems, aids to find Lyapunov functions for non-linear continuous time autonomous systems, use of Lyapunov functions to estimate transients, the direct method of Lyapunov and discrete time autonomous systems.

8

CO1, CO4

4

Model control: Introduction, controllable and observable companion forms for single input/single output systems & multi-input/multi-output systems, the effect of state feedback on controllability & observability, pole placement by state feedback, full order observers, the separation principle, reduced order observers, deadbeat control by state feedback, deadbeat observers.

8

CO1, CO5

Course Code:

EI-PC-203

Course Name: Program Elective-III

Intelligent Instrumentation (vi)

L

T

P

C

3

–

–

3

Year and Semester

2^nd Year.

3^rd  Semester

Contact hours per week: (3Hrs)

Exam:  (3 Hrs)

Pre-requisite of course

Measurements and Instrumentations

Evaluation

CIE:  40

SEE: 60

Course Objectives:

1. Study the concept of intelligent instrumentation system

2. Study of intelligent instrumentation components

3. Study the characteristic function of Smart Sensors

4. Detail study of  Standards for smart sensors

5.  Study and  development of data acquisition system for smart sensor system

6. Detail study and applications of  Microelectro-mechanical systems

Course Outcomes: On completion of the course, student would be able to:

CO1

Ability to understand the concept of intelligent instrumentation system

CO2

 Able to learn characteristic function of Smart Sensors

CO3

Acquire the knowledge of  Standards for smart sensors  and their  Industrial applications.

CO4

Able to learn and analyze the various principles & concepts of data acquisition system for smart sensor system.

CO5

To implement new and emerging technologies to analyze, design, maintain reliable, safe, and cost effective solution Smart sensors development including Microelectro-mechanical systems

Module No

COURSE SYLLABUS

CONTENTS OF MODULE

Hrs

COs

1

Definition of intelligence and of an intelligent instrumentation system;

features characterizing intelligence and features of intelligent

instrumentation; components of intelligent instrumentation; Block

diagram of an intelligent instrumentation system.

8

CO1 CO2

2

Smart Sensors: Primary sensors; Excitation; Amplification; Filters;

Converters; Compensation (Nonlinearty: look up table method,

polygon interpolation, polynomial interpolation, cubic spline

interpolation, Approximation & regression; Noise & interference;

Response time; Drift; Cross-sensitivity); Information Coding/

Processing; Data Communication; Standards for smart sensor

interface; The automation.

10

CO2

CO3

3

Interfacing Instruments & Computers: Basic issues of interfacing;

Address decoding; Data transfer control; A/D converter; D/A

converter; Other interface considerations.

10

CO4

4

Software Filters (Digital Filters) : Description of Spike Filter, Low

pass filter, High pass filter etc. Recent Trends in Sensor

Technologies: Introduction; Film sensors (Thick film sensors, Thin

film sensors); Semiconductor IC technology –standard methods;

Microelectro-mechanical systems (Micro-machining, some application examples); Nano-sensors.

9

CO4

CO5