PEI104
PROCESS MODELING AND CONTROL 


L 
T 
P 
Cr 

3 
1 
0 
3.5 
Prerequisite(s): None 
General Concepts: Review of general concepts, Terminology,
Applications of process control
Static and Dynamic characteristics: Dynamic analysis of instrumentation system, Relative
merits of analytical and experimental modeling of dynamic behavior, Response of
zero, First and 2nd order system to step, Pulse, Harmonic and random test
signals, Frequency spectra, Auto correlation spectral density, Loading effects
under static and dynamic conditions, Simulation of dynamic response.
Simulation and Modeling: Importance of simulation, Terms used Simulation,
Mathematical modeling, Process dynamics
of fluid flow and heat transfer systems, Mass transfer dynamics and
distillation column, Reaction kinetics of chemical processes.
Advanced Control Schemes: Structure, analysis and application of Cascade
control, Selective control, Ratio Control, Design of steady state and dynamic
feed forward controller, Feed forward combined with feedback control,
Structure, analysis and applications of
inferential control, Dead time and inverse response compensators,
Concepts and applications of Adaptive control, Model reference adaptive
control, Self tuning regulator.
Design of Multiloop Controllers: Interactions and decoupling of control loops. Design
of cross controllers and selection of loops using Relative Gain Array (RGA)
Digital Control : Sampling and reconstruction, Transform analysis of
sampleddata systems: ztransform and its evaluation, Inverse ztransform, Theorems of ztransform, Modified ztransform, Mapping of jplane to zplane, Pulse transfer function, Stability analysis in
zplane, Mapping
approximation of ztransform, Numerical solution of differential equations, Implementation
of digital controller, Case studies.
Discrete Event System
Modeling: Introduction to various methods of modeling, Automata Theory,
Introduction to Petri Nets.
State Space Analysis: State space representation of continuous and discrete
time control systems, Control theory, State space concepts, State variables,
Pole placement design and state observes.
Controllability and Observability : Controllability and Observability of linear time invariant systems and the
relation between them.
Stability Analysis: Stability analysis, Definition, First and second
method of Liapunov, Stability analysis of linear systems.
Real Time Control: Characteristics and classes of realtime systems, program
classification: Sequential, Multi tasking, real time, Concurrency and
synchronization, Design strategies, Reliability, Fault detection and fault
tolerance, Real time operating systems, Distributed Computing systems:
Distributed processing issues in distributed data base systems, Distributed
control operating system fir digital control.
Recommended
Books