B.E. 3rd Year Second Semester |
S. No. |
Course Code |
Course Name |
L |
T |
P |
Total |
Credits |
1 |
|
Elective I |
3 |
0 |
2 |
5 |
4 |
2 |
|
Elective II |
3 |
0 |
2 |
5 |
4 |
3 |
|
Elective III |
3 |
0 |
2 |
5 |
4 |
4 |
|
Open Elecive I |
4 |
0 |
0 |
4 |
4 |
5 |
|
Open Elecive II |
4 |
0 |
0 |
4 |
4 |
|
|
Total |
17 |
0 |
6 |
23 |
20 |
Four weeks Industrial Training with no Credit.
OR
Students may opt for Full-Semester Industrial Training in lieu of 6th Semester..
1 |
EE 397 |
Industrial Training |
… |
… |
… |
… |
16 |
2 |
EE 398 |
Capstone Project I |
… |
… |
… |
… |
4 |
|
|
Total |
… |
… |
… |
…. |
20 |
Elective I, Elective II, Elective III |
1 |
EE 304 |
Neural Networks |
|
|
|
|
|
2 |
EE 305 |
Electrical Machine design |
|
|
|
|
|
3 |
EE 306 |
Fuzzy Systems |
|
|
|
|
|
4 |
EE 307 |
Digital Control System |
|
|
|
|
|
5 |
EE 308 |
Power system operation & Control |
|
|
|
|
|
Open Elective I, Open Elective II |
1 |
EE 309 |
Introduction to VLSI Circuit & Systems |
|
|
|
2 |
EE 310 |
Electro Magnetic Field Theory |
|
|
|
|
|
3 |
EE 311 |
Control System Design |
|
|
|
|
|
4 |
EE 312 |
Digital Signal Processing |
|
|
|
|
|
5 |
EE 313 |
Advanced Control Systems |
|
|
|
|
|
6 |
EE 314 |
Embedded Generation |
|
|
|
|
|
Course Name : NEURAL NETWORKS
Course Code : EE 304
Credits : 4
L T P : 3 0 2
Pre req : ---
Lecture wise break up No. of Lectures INTRODUCTION
Biological neuron & their artificial models, Models of Artificial neural networks, Neural processing, Learning and adaptation, Neural network learning rules-hebbian, perception, delta, windrow-Holf learning rule. Winner Take all, outstan learning, Adalin & Madaline networks.
SUPERVISED LEARNING
Single layer networks, Perception-linear separability, Limitations, Multilayer networks back propagation, algorithm and their training limitations, applications, Feed forward networks – Radial basis function.
UNSUPERVISED WINNER
Takes all networks, Hamming networks, Maxnet, counter propagation network; adaptive resonance theory, Kohem’s self organizing maps.
ASSOCIATE MEMORIES
AutoAssociate memories and Bidirectional memories.
SPECIAL NETWORKS
Cognitron, Neocognition, statistical methods-Boltzmann machine, Cauchy’s machine, simulated annealing.
OPTIMIZATION
Hopfield Network – TSP, A/D converter. BOOK:
- Introduction to Artificial neural networks, J.M.Jurada, Jaico Publishers Mumbai, 1997.
- Neural computing: Theory & Practice by Philip D. Wasserman Auza Research Inc. Van Nostrand 1989.
REFERENCES:
- Simon Haykin, Neural Networks – A Comprehensive Foundation, Macmillan Publishing Co., New York, 1994.
- Understanding Neural Networks and Fuzzy logic by S.V.Kartalo Poulos – PHI.
- NN, FL & GA, Systhesis & App. By S.Rajasekaran & Ga Vijaylakshmi Rai-PHI.
Course Name : ELECTRICAL MACHINES DESIGN
Course Code : EE 305
Credits : 4
L T P : 3 0 2
Lecture wise break up No. of Lectures
GENERAL (6)
Review of materials used in electrical machines- their characteristics and limitations. Classification of insulating materials based on temperature rise. Losses in electric machines, temperature rise calculation, steady state temperature rise, heating and cooling curves. Ratings of machines. Temperature gradients in transformer and rotating machines.
VENTILATION (3)
a) methods of cooling transformers
b) Types of ventilation, methods of cooling 3-phase induction motor, cooling circuits and types of enclosures, cooling of totally enclosed M/Cs
c) Hydrogen cooling, direct water cooling.
d) Quantity of cooling medium: air, hydrogen, water and oil.
MAGNETIC CIRCUITS (3)
a) Magnetic circuits of transformers and three phase induction motors.
b) Magnetic loadings of transformers and induction motors.
c) Specific slot permeance and slot leakage of a three phase induction motor.
d) Leakage reactances of cylindrical coils of equal length and sandwich coils of equal width in a transformer.
ELECTRIC CIRCUITS (5)
a) Types of low voltage and high voltage windings in transformers.
b) Characteristics of a.c. armature windings. Types of windings used for induction motors. Winding factors.
TRANSFORMERS (8)
Design of single-phase and three-phase core type power and distribution transformers, single phase shell type transformers.Magnetic and electric circuit, slot and its insulation, squirrel-Cage and slip ring rotors, no load current, short circuit current, efficiency, no load current, cooling system, over all dimensions and weight.
Computer aided design of induction motors.
INDUCTION MOTORS (8)
Design of squirrel-cage and wound rotor type of three Phase induction motor.
Stator and its windings, slot and its insulation, squirrel - cage and slip-ring rotors,, no load current, short circuit current, efficiency, circle diagram, stator temperature rise, weight, Computer aided design of induction motors.
BOOK:
1. A.K.Sawhney, A course in Electrical Machine Design , Dhanpat Rai & SonsREFERENCES:1. Say and Smith, Design Manual 2. M.G.Say, The Design and Performance of Alternatic Current Machines, CBS Publishers and Distributors
LIST OF EXPERIMENTSStudy of
- winding arrangement for D.C. machines.
- different winding arrangements of A.C. Machines.
Computer aided design and performance evaluation of
- Single phase core & shell type of transformers.
- Three phase power and distribution core type transformers
- Three phase induction motors (squrrel cage and wound rotor type)
Course Name : FUZZY SYSTEMS
Course Code: : EE 306
Credits : 4
L T P : 3 0 2
Pre req: ---
Lecture wise break up No. of Lectures
INTRODUCTION
Uncertainty and imprecision, Fuzzy sets & membership.
CLASSICAL SETS AND FUZZY SETS
Operation & properties of classical sets, Fuzzy set operation and properties of fuzzy sets.
CLASSICAL RELATIONS & FUZZY RELATIONS
Cartesion product, crisp Relations – cardinality, operation & properties of crisp relations, composition. Fuzzy relations-cardinality, operation & properties of fuzzy relations, Fuzzy Cartesian product and composition, Fuzzy tolerance relation & equivalence value assignments.
MEMBERSHIP FUNCTIONS (MF)
Features of MF, standard forms and boundaries, Fuzzification, Membership value of assignments.
FUZZY TO CRISP CONVERSION
Cut for fuzzy sets and fuzzy relations, defuzzification methods.
CLASSICIAL LOGIC AND FUZZY LOGIC
FUZZY RULE BASED SYSTEMS
FUZZY CONTROL SYSTEMS
Review of control system theory, simple fuzzy logic controllers, General fuzzy logic controllers, Industrial applications.
MISCELLANEOUS TOPIC
Fuzzy decision-making, fuzzy optimization, fuzzy linear regression, fuzzy classification. BOOK:1. Fuzzy logic with Engineering Applications by Timothy J. Ross – McGraw Hill, Inc.REFERENCES:
- Neural Network, Fuzzy logic and Genetic Algorithms Synthesis and applications – S. Rajasekaran & G.A.Vijaylakshmi Pai.
- Understanding Neural Networks and Fuzzy logic by S.V.Kartalo Poulos – PHI.
- Fuzzy Sets & Fuzzy logic Theory & applications by George J. Klir/Bo Yaun-PHI.
Course Name : DIGITAL CONTROL SYSTEM
Course Code : EE 307
Credits : 4
L T P : 3 0 2
Lecture wise break up No. of Lectures
INTRODUCTION (3)
control system terminology, computer based control, control theory (history &trends)
SIGNAL PROCESSING IN DIGITAL CONTROL (10)
Advantages of digital control, basic digital control scheme, principle of signal conversion, basic discrete-time signals, time domain &transfer function models, stability in z –plane, sampling, sampled spectra & aliasing, filtering, principles of discretization.
MODELS OF DIGITAL CONTROL DEVICES AND SYSTEMS (8)
z-domain description of sampled continuous, time plants, z- domain description of systems with dead- time, implementation of digital controllers.
DESIGN OF DIGITAL CONTROL ALGORITHMS (6)
z-plane specifications of control system design, digital compensator design using frequency response and root locus plots, z- plane synthesis.
STATE VARIABLE ANALYSIS OF DIGITAL CONTROL SYSTEM (9)
State description of digital processors, state description of sampled continuous- time plants, solution of state difference equations controllability and observability.
DIGITAL CONTROL (7)
Digital Control System with State Feedback, dead beat control by state feedback and dead beat observers, lyapunov stability analysis for discrete –time systems.
BOOK:
1. Gopal, M., Digital control and state variable methods, Tata McGraw- Hill Publishing company limited.
REFERENCES:
- Kuo ,B.C., Digital control systems.2nd edition ,Orlando Florida: Saunders College Publishing, 1992.
- G.F.Franklin, J.D. Powel and M.L.Workmen, Digital Control of Dynamics Systems, Joh Wiley & Sons.
- Ogata, k. discete –time control systems, Englewood cliffs, New jersey: Prentice-hall 1987.
4. Gayakward, R., and L. sokoff, analog and digital control systems, Englewood cliffs, New jersey: Prentice- hall,1988. Course Name : POWER SYSTEM OPERATION AND CONTROL
Course Code : EE 308
Credits : 4
L T P : 3 0 2
Lecture wise break up No. of Lectures
CHARACTERISTIC OF POWER GENERATION UNITS (6)
Characteristic of steam units and hydro units Input and output incremental fuel cost characteristics.
ECONOMIC DISPATCH OF THERMAL UNITS (12)
Economic dispatch problem, Thermal system dispatching with network losses considered Line loss formula (without derivation), Penalty factors solution of co-ordination equation by iteration method. Base point participation factors, Newton-Rapson method.
UNIT COMMITMENT (8)
Constraints in unit commitment, solution of the unit commitment problem by priority list method and forward dynamic programming approach.
HYDRO THERMAL CORDINATION (8)
Short-term hydrothermal scheduling problem, solution of co-ordination equations by iteration method dynamic programming approach.
POWER SYSTEM CONTROLS (10)
Generator voltage control, Turbine governor control, co-ordination of economic dispatch with load frequency control.
BOOK:
1. A.J. Wood And B.F. Wollenberg, Power generation operation and control, JohnWiley and sons
REFERENCES:
1. J.D. Glower and Sarna, Power system analysis
2. Nagrath and Kothari, .Power System Engineering, Tata Mc. Graw hill.
3. S. MUKHOPADHYAY, Moderan Power System control and OperationCourse Name : INTRODUCTION TO VLSI CIRCUIT & SYSTEM
Course Code : EE 309
Credits : 4
L T P : 4 0 0
Lecture wise break up No. of Lectures
AN OVERVIEW OF VLSI
Basic Concepts
LOGIC DESIGN WITH MOSFETS
Ideal switches and Boolean operations MOSFET as switches, Basic Logic GATES in COMS, transmission gate circuits, Clocking and dataflow control.
PHYSICAL STRUCTURE OF COMS, INTEGRATED CIRCUITS
Integrated circuit layers, MOSFETs COMS layers, designing FET Arrays.
ELECTRICAL CHARACTERISTICS OF MOSFETS
MOS physics, nFET voltage current equations, The FET RC Model , pFET characteristics, Modeling of small MOSFETs.
ELECTRONIC ANALYSIS OF COMS LOGIC GATES
DC ch. Of COMS inverter, Inverter switching characteristics, Power Dissipation, DC ch.- NAND & NOR gates and their transient response, Analysis of complex logic gates, Gate Design for transient performance, SPICE simulation.
GENERAL VLSI SYSTEM COMPONENTS
Multiplexer, Binary decoder, Equality detector and comparators, Priority Encoder Shift androtation operations, Latches, D Flip-flop Registers, The role of synthesis.
ARITHMETIC CIRCUITS IN COMS/ VLSI
Bit Adder circuits, Ripple carry adders Ahead adders.
MEMORIES AND PROGRAMMABLE LOGIC
The Static Ram, SPRAM Arrays, dynamic RAMs, ROM Arrays, Logic Arrays.
BOOK:
1. Introduction to VLSI Circuits and Systems- John P. Uyemura
Course Name : ELECTRO-MAGNETIC FIELD THEORY
Course Code : EE 310
Credits : 4
L T P : 4 0 0
Lecture wise break up No. of Lectures
ELECTRO STATIC AND MAGNETIC FIELDS (9)
Review of coulomb law, gauss law, and divergence theorem. Poisson's and Laplace equation in various co-ordinate systems. Conditions at a boundary between dielectrics. Capacitance - calculation of capacitance for simple rectangular, cylindrical and spherical geometric. Energy and mechanical forces in electric fields. Biot savart law, ampere's circuital law in differential and vector form , ampere's force law, magnetic scalar potential, magnetic vector potential, magnetic dipole, faraday's law. Inductance- self and mutual claculation of inductance of simple geometries, energy and mechanical forces in magnetic fields.
METHOD OF IMAGES (5)
Theory of method of images, point charge in the neighborhood of infinite conducting plane and sphere, line charge in the neighborhood of infinite conducting plane, image of current carrying conductor in the neighbourhood of a plane conducting surface.
FINITE ELEMENT METHOD FORMULATION FOR SIMPLE GEOMETRIES. (5)
MAGNESIC FIELD (6)
The study of magnetic field Farady’s law, Magnetic flux density, magenetic field strength, Ampere’s work law in integral and differential form, energy stored in a magnetic field, Biot-Savart law.
MAXWELL'S EQUATION (6)
Equation of continuity for time varying fields, inconsistency of ampere's law, Maxwell's equations conditions at a boundary surface.
ELECTROMAGNETIC WAVES (6)
Derivation of the wave equation, solution for free space conditions, uniform plane wave propagation, wave equation for a conducting medium, sinusoidal time variations, conductors and dielectrics. Penetration of flux and current in a conductor
POYNTING (7)
Poynting Vector and flow of Power Poynting's Theorem, interpretation of EH, Instantaneous , average and complex poynting vector, power loss in a plane conductor.
BOOKS:
1. E.C. Jordan and K.G. Balman, Electromagnetic Waves and Radiating Systems.
2. K.J. Binn and P.J. Lawernson, Analysis and computation of Electric and Magnetic Field Problem
.REFERENCES:1. Simon Ramo, John R. Whinnery, Theodore Van Duzer, “Fields and Waves in Communication Electronics” 3rd edition, John Wiley & Sons 2004.
Course Name : CONTROL SYSTEM DESIGN
Course Code : EE 311
Credits : 4
L T P : 4 0 0
Pre-requisite : EE 302
Lecture wise break up No. of Lectures
INTRODUCTION TO DESIGN (4)
State-space models; Performance measures like ISE, ITAE; Quadratic indices; Controllability and Observability.
POLE PLACEMENT MODEL MATCHING (10)
Unity feedback configuration: regulation & tracking, robust tracking & disturbance rejection, Model matching-two parameter configuration, implementation of two parameter compensators, Multivariable unity-feedback systems: regulation & tracking, robust tracking & disturbance rejection, Multivariable model matching-two parameter configuration
LINEAR QUADRATIC REGULATOR (LQR) (10)
Performance index; Optimal control law; Algebraic Riccati eqn.; Frequency-domain interpretation.Linear Quadratic Gaussian (LQG): Statistical descriptions of noise; Kalman filter; Stability margins.
H¥ DESIGN (10)
Uncertainty descriptions; Robustness measures; Formulation for control-synthesis; Riccati eqn.; Model-order reduction.
CASE STUDIES (8)
Inverted pendulum; Missile control; Process control.
BOOK:
- B. Friedland, Control System Design, McGraw Hill 1986.
REFERENCES:
1. B.D.O. Anderson and J.B. Moore, Optimal Control - LQ Methods, Prentice Hall of India, New Delhi, 1989.
2. J.C. Doyle, B.A. Francis and A.R. Tannenbaum, Feedback Control Theory, Maxwell Macmilan International Ed., 1992.
3. C.T. Chen, Linear system Theory and design, Oxford University Press, 1999.
Course Name : DIGITAL SIGNAL PROCESSING
Course Code : EE 312
Credits : 4
L T P : 4 0 0
Lecture wise break up No. of Lectures
SIGNAL & SIGNAL PROCESSING (3)
classification of signals, typical signal processing operations, typical signal processing applications, why digital signal processing
TIME DOMAIN REPRESENTATION OF SIGNALS & SYSTEMS (6)
Discrete- time signals, operations on sequences, the sampling process, discrete-time systems, time-domain characters tics of LTI discrete-time systems, state space representation of LTI discrete time systems.
TRANSFORM (8)
Domain representation of signals: the discrete-time Fourier transform, discrete Fourier transform, computation of the DFT of real sequences, linear convolution using the DFT, the z- transform, the inverse z- transform
TIME DOMAIN REPRESENTATION OF LTI SYSTEMS (5)
the frequency response, the transfer
function. , Digital two-pairs stability test.
DIGITAL PROCESSING OF CONTINUOUS TIME – SIGNALS (5)
sampling of continuous time signals, analysis filter design, anti- aliasing filter design, reconstruction filter design
DIGITAL FILTER STRUCTURES (8)
block diagram representation, signal flow graph representation, equivalent structures, Basic FIR digital filter structures, Basic IIR filters structures, all pass filters, tunable structures
.
DIGITAL FILTER DESIGN (8)
preliminary conditions, impulse invariance method of IIR filter design, bilinear transform method of IIR filter design, design of filter IIR notch filters, FIR filter design based on truncated Fourier series, FIR filter design based on frequency sampling approach, computer-aided design of digital filters.
BOOK:
1. Mitra, Sanjit .k, Digital Signal Processing, Tata-McGraw-hill edition.
REFERENCES:
1. Antoniou, A., Digital Filters: Analysis & Design McGraw –hill Book company.
2. Sterms, S.D., Digital signal Processing. Englewood cliffs, N.J.:Prentice-hall Inc.
Course Name : ADVANCE CONTROL SYSTEMS
Course Code : EE 313
Credits : 4
L T P : 4 0 0
Pre-requisite : EE 303
Lecture wise break up No. of Lectures
NON LINEAR CONTROL SYSTEMS (12)
Linear versus nonlinear systems. Describing function analysis: Fundamentals, common nonlinearities (saturation, dead-zone, on-ff non-linearity, backlash, hysteresis) and their describing functions. Describing function analysis of nonlinear systems. Reliability of describing method analysis. Compensation and design of nonlinear system using describing function method.
Phase plane analysis: Phase portraits, Singular points characterization. Analysis of non-linear systems using phase plane technique, Existence of limit cycles. Linearization: Exact linearization, input-state linearization, input-output linearization.
MULTIVARIABLE CONTROL SYSTEMS (15)
Examples of multivariable control systems. State space, polynominal and stable fraction models. Controllability, observability and computations involved in their analysis. Realization theory of multivariable systems and algorithms. Stability by Lyapunov’s method, solution of Lyapunov equations. Pole placement, observer design and stabilization theory. Spectral factorizations of systems. Solution of the Ricatti equation. Balanced realizations and their computations.
ROBUST CONTROL SYSTEMS AND PARAMETRIC SYNTHESIS (15)
Small perturbation analysis, robust control, sensitivity functions, structured and unstructured uncertainities, define H2 and H-infinity control problem, the performance bound, concept of basic loop-shaping, weights to specify performance, mixed sensitivity problem, robust pole assignment problem. Controller Parameterization, Strong and Simultaneous Stabilization problem. Q-Parameter design, design of robust control systems. Youla parameterization, Internal model control (IMC), IMC performances.
BOOKS
- K.Ogata, Modern Control Engineering, PHI
- John Bay: Fundamentals of linear state space systems, McGraw Hill, 1998
REFERENCES
- C.T.Chen: Linear system theory and design, 3rd edition, Oxford 1999.
- K.Zhou et al., Robust and Optimal Control Systems, Oxford
Course Name : EMBEDDED GENERATION Course Code : EE 314
Credits : 4
L T P : 4 0 0
Pre-req. : EE 205
Lecture wise break up No. of Lectures INTRODUCTION (5)Embedded or dispersed generation, Need for embedded generation, limits of embedded generation, Issues of embedded generation, Technical impacts of embedded generation on the distribution system - network voltage changes, increase in network fault levels, power quality, protection, stability, and network operation, Economic impact of embedded generation on the distribution system, Impact of embedded generation on the transmission system.
EMBEDDED GENERATION PLANT (8)Combined Heat and Power plants, Renewable energy generation, Small-scale hydro-generation, Wind power plants, Offshore wind energy, Solar photovoltaic generation.
SYSTEM STUDIES (10)Review of power flow, short circuit and transient stability studies of power systems. Effect of presence of embedded generation on power flow, short circuit and transient stability studies.
ECONOMICS OF EMBEDDED GENERATION (10)Connection costs and charges: Concept, Voltage level related connection cost, Deep versus shallow connection charges, Distribution use of system charges and embedded generation: Current practice, Contribution of embedded generation to network security Allocation of losses in distribution networks with embedded generation
PROTECTION OF EMBEDDED GENERATORS (9) Protection schemes for isolated and embedded generators: single generator on an isolated network, generator operating in parallel with other generators on an isolated network, Generator embedded into utility network, Protection requirements. Overcurrent protection, Earth fault overcurrent protection, Differential protection of the stator winding, Phase and interturn faults on the stator windings Under/overvoltage protection, Under/overfrequency protection, Reverse power relay, Loss of excitation, Unbalanced loading, Generator stator thermal protection, Overexcitation, Loss of mains protection, Rotor protection.
BOOK:
1. Nick Jenkins, Ron Allan, Peter Crossley, Daniel Kirschen and Goran Strbac, Embedded Generation
, The Institution of Electrical Engineers, London, 2000
REFERENCES:
1. Related IEEE/IEE Publications.
Home