Syllabus for credit based curriculum 2010 – 2011 onwards



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Computer control – Introduction – Review of Z Transform, Modified Z Transform and Delta Transform. Relation between Discrete and Continuous Transfer function-Poles and Zeros of Sampled Data System (SDS) – Stability Analysis in Z domain

Introduction to Pulse Transfer function- Open loop and closed loop response of SDS- Design and implementation of different digital control algorithm: Dead beat, Dahlin, Smith predictor and Internal Model Control algorithm with examples.

Different Models of Discrete System: LTI System:- Family of Discrete Transfer function Models- State Space models- Distributed Parameter Model. Models for Time varying and Non-linear System: Linear Time varying models- Non-linear State space models- Non-linear Black Box Models- Fuzzy Models


Parameter Estimation Methods: General Principles- Minimizing Prediction errors- Linear Regression and the Least Square method- Statistical Frame work for Parameter Estimation and the Maximum Likely hood method- Instrument Variable method – Recursive and Weighted Least square method
Adaptive Control: Introduction -Deterministic Self Tuning Regulator: Indirect and Direct self tuning regulator-Model reference Adaptive system: Design of MRAS using Lyapnov and MIT Rule- Auto tuning and Gain scheduling adaptive control design with examples.
TEXT BOOK:


  1. Lennart Ljung- System Identification Theory for the user – PTR Printice Hall Information and system sciences Series, NJ, 1999.

  2. P. Deshponde and Ash, Computer Controlled System ISA Press, USA

  3. Richard H. Middleton and Graham C. Goodwin ‘Digital Control and Estimation A Unified Approach’Printice Hall NJ, 1990

  4. Dale E. Seborg, Thomas F. Edgar, Duncan A. Mellichamp,’ Process Dynamics and Control Willey India, 2006.

  5. Astrom .K. J, Bjorn Wittenmark, Adaptive Control, Second Edition, Prentice Hall of India, New Delhi, 1994.

CL 654 INDUSTRIAL COMMUNICATION SYSTEMS

Interface: Introduction, Principles of interface, serial interface and its standards. Parallel interfaces and buses.


Fieldbus: Use of fieldbuses in industrial plants, functions, international standards, performance, use of Ethernet networks, fieldbus advantages and disadvantages. Fieldbus design, installation, economics and documentation.
Instrumentation network design and upgrade: Instrumentation design goals, cost optimal and accurate sensor networks. Global system architectures, advantages and limitations of open networks, HART network and Foundation fieldbus network.
PROFIBUS-PA: Basics, architecture, model, network design and system configuration. Designing PROFIBUS-PA and Foundation Fieldbus segments: general considerations, network design.
TEXT BOOKS/REFERENCES


  1. Noltingk B.E., “Instrumentation Reference Book”, 2nd Edition, Butterworth Heinemann, 1995.

  2. B.G. Liptak, Process software and digital networks, 3rd Edition, CRC press, Florida.


CL 656 SYSTEM IDENTIFICATION

Introduction to system identification: identification based on differential equations, Laplace transforms, frequency responses, difference equations. Signals and system concepts, stationarity, auto-correlation, cross-correlation, power spectra. Random and deterministic signals for system identification: pulse, step, pseudo random binary sequence (PRBS).

Nonparametric model estimation: Correlation and spectral analysis for non-parametric model identification, obtaining estimates of the plant impulse, step and frequency responses from identification data.

Prediction-Error Model Structures: parametric estimation using one-step ahead prediction error model structures and estimation techniques for ARX, ARMAX, Box-Jenkins, FIR, Output Error models. Residual analysis for determining adequacy of the estimated models.

Nonlinear system identification: Similarities and differences from linear system identification, Development of nonlinear black-box models (Volterra, NARX, NARMAX, Wiener, Hammerstein).

Closed-Loop Identification: nonparametric closed-loop identification via correlation and spectral analysis. Identification with closed-loop data using indirect and direct approaches. Relay auto tuning.

Case studies using MATLAB/System Identification toolbox.

TEXT BOOKS:

Nelles, O. Nonlinear System Identification, Springer-Verlag, Berlin, 2001, ISBN: 3-54067369-5.

Zhu, Y. Multivariable System Identification for Process Control, Pergamon, 2001, ISBN: 0-08-043985-3.

Ljung, L. System Identification: Theory for the User, 2nd Edition, Prentice-Hall, 1999, ISBN 0-13-656695-2.

B.A. Ogunnaike and W.H. Ray, Process Dynamics, Modeling, and Control, Oxford University Press, ISBN 0-19-1994, 509119-1.


ELECTIVE SUBJECTS

CL 661 CHEMICAL PROCESS SYSTEMS
Typical products and their and uses, Systematic analysis of chemical processes. Flow sheets and symbols for various operations. Variation in process conditions, raw materials and fuels – effect on end products and economy.
Overall Balances, Component balances in engineering equipment, combustion reactions, Stoichiometric balances in manufacturing processes.
Forms of energy, Total balance, Heat balance, Heat effects and combustion reactions, Energy balances in manufacturing processes, optimum utilization of energy, Heat transfer operations in chemical reactors. Equipments- Fundamental concepts in heat exchangers, Evaporators and distillation column, Design and classification of heat exchangers, Evaporators and distillation column.
Fundamental principles and classification of heat exchangers, Evaporators, Distillation columns and equipment for Agitation and mixing of fluids dimensional analysis to estimate power consumption for agitation.
Energy Conservation in process systems and industries, Optimization principles and pinch analysis to calculate energy consumption.
TEXT BOOK:


  1. W.L. McCabe, J.C. Smith and P. Harriott, “Unit Operations of Chemical Engineering”, sixth Edition, McGraw Hill, 2001.

  2. Walter L.Badger and Julivst. Banchero “Introduction to Chemical Engineering”, Tata McGraw Hill publishing company, 1997


REFERENCES:

  1. L.B. Anderson and L.A. Wenzel, “Introduction to Chemical Engineering”, McGraw Hill, 1961.

  2. P.Harriot, “Process Control”, McGraw Hill, 1984.

  3. D.A. Reay, “Industrial Energy Conservation”, McGraw-Hill, New York, 1979.


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