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 sampled-data systems: z-transform and its evaluation, Inverse z-transform, Theorems of z-transform, Modified z-transform, Mapping of j-plane to z-plane, Pulse transfer function, Stability analysis in z-plane, Mapping approximation of z-transform, 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 real-time 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

  1. Bequette, B.W., Process Control: Modeling, Design And Simulation Prentice Hall of India (2003).
  2. Harriott, P., Process Control, Tata McGraw Hill (2002).
  3. Luyben, E., Essentials of Process Control, Tata McGraw Hill (1989).