Course Details

Subject {L-T-P / C} : CH3310 : Process Dynamics and Control {3-1-0 / 4}
Subject Nature : Theory
Coordinator : Prof. Hara Mohan Jena


Overview of control 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, Analysis of the Dynamic behaviour of chemical processes, Linearization, Laplace transforms, solution of linear differential equations using Laplace transforms, Transfer functions and input output model, Dynamic behaviour of first, second and other order and higher order systems, 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, Analysis and design of Advanced control systems, 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, Digital computer control loops, continuous to discrete system, z-transformation, discrete time response, design of digital feedback controllers.

Course Objectives

  1. Introduce students to the mathematical theory, modern practice and industrial technology of process control
  2. Equip students with the knowledge of modeling a physical process and understand how mass and heat balances govern the response of a process to setpoint changes and external disturbances
  3. Make the students conversant with process control hardware, conventional controllers and alternate control configurations
  4. Provide in-depth understanding of designing and implementing control strategies in process industries

Course Outcomes

Upon successful completion of this course, a student will have / be able to:
1. Understand the basic principles & importance of process control in industrial process plants and recognize and classify dynamic variables of chemical Processes
2. Develop dynamic models, transfer function (input-output) and state-space models processes from balances
3. Apply the Laplace and Inverse Laplace Transforms in order to obtain s-domain transfer functions and dynamic responses
4. Characterize the dynamics and stability of processes based on mathematical analysis
5. Understand the principles of feedback and feedforward controllers and design PID controllers using different tuning rules
6. Identify possible control loops in chemical engineering plants and assess their performance
7. Carry out a frequency-domain analysis of control loop systems and understand the philosophy of and design model-predictive controller
8. Understand the experimental implementation of advanced process control schemes and the
methods for process monitoring and diagnosis
9. Understand Digital control loops, Z-transforms and design digital feedback controllers

Essential Reading

  1. G. Stephenanopoulos, Chemical Process Control–An Introduction to Theory & Practice, Pearson Education, India , 2015
  2. D.R. Coughanowr, Process Systems Analysis and Control, McGraw Hill, Singapore , 2013

Supplementary Reading

  1. B. B. Wayne, Process Control: Modeling, Design, and Simulation, Prentice-Hall India , 2006
  2. Seborg, Edgar, Mellichamp, Doyle, Process Dynamics and Control, Wiley , 2011