Syllabus

Module-I
Overview of control, Modeling and Transfer function of Chemical Processes: Incentives and need of process control, design aspects and hardware for a process control system, Modeling the dynamic and static behaviour of chemical process, Need of mathematical modeling, Process modeling, Process variables and process degrees of freedom, state equations, Linearization, Laplace transforms, solution of linear differential equations using Laplace transforms, Transfer functions and input output model. 10 hours
Module-II
Dynamic behaviour of chemical processes: Dynamic behaviour of first, second and other order and higher order systems, Transient responses. 8 hours

Module-III
Analysis and design of Feedback control systems: Concept and types of feedback control, measuring devices, final control element, block diagram, effect of various control action on processes, stability analysis, design of feedback controllers, frequency response analysis, design of feedback controllers using frequency response techniques. 12 hours

Module-IV
Introduction to Analysis and design of advanced control systems and Multivariable Processes: Systems with large dead time and inverse response, control systems with multiple loops, feedforward and ratio control, adaptive and interfacial control systems, Multivariable processes, MIMO control system, interaction and decoupling of control loops, control systems for complete plant. 5 hours

Module-V
Introduction to Digital computer control: Digital computer control loops, continuous to discrete system, z-transformation, discrete time response, design of digital feedback controllers. 5 hours

Introduce students to the mathematical theory, modern practice and industrial technology of process control

Equip students with the knowledge of modeling a physical process and understand how mass and heat balances govern the response of a process to set-point changes and external disturbances

Make the students conversant with process control hardware, conventional controllers and alternate control configurations

Provide in-depth understanding of designing and implementing control strategies in process industries

CO1: To identify hardware elements of process control system, develop mathematical model of systems from first principles leading to transfer function models.
CO2: To derive transfer function models open loop systems and compute the response of the developed transfer function for various forcing functions.
CO3: To calculate transient response of closed loop systems, evaluate the stability of a control system, design a control system for robust performance using frequency response methods.
CO4: To design various advanced control algorithms for chemical processes having specific problems, synthesis of control configurations with minimal interaction.
CO5: To evaluate discrete-time response of closed loop systems, design digital feedback controllers.

G. Stephenanopoulos, Chemical Process Control–An Introduction to Theory & Practice, Pearson Education, India, 2015

D.R. Coughanowr, Steven E. LeBlanc, Process Systems Analysis and Control, McGraw Hill education, Indian Edition, 2017

B. B. Wayne, Process Control: Modeling, Design, and Simulation, Prentice-Hall India , 2006

Seborg, Edgar, Mellichamp, Doyle, Process Dynamics and Control, Wiley, 2011