CO1: Demonstrate the basic principles & importance of process control and process identification in industrial process plants.
CO2: Analyze Multivariable Control strategies including fundamental concepts, loop pairing, decentralized control and decoupling control.
CO3: Apply simulation and real time optimization to process plant units.
CO4: Design practical advanced process control systems.
Course Content
Module 1: (12 hours)
Fundamentals of Process Control
Fundamentals of Advanced process control; Insight into industrial hierarchical advanced control, structures, plant operation, control and decision making, Insight into plantwide advanced control structures, hardware systems and data/ information highways. Process identification: Identification of parametric and non-parametric models, state and parameter estimation. Open-loop estimator, Kalman filtering, Luenberger estimator, inferential estimator, principal component regression, Adaptive control, Gain scheduling; Advanced adaptive controllers; model-reference adaptive control.
Module 2: (14 hours)
Multivariable Process Control
Multivariable process control, Open loop dynamic analysis in state space, interaction analysis, strategies for reducing control loop interactions loop pairing using RGA, loop pairing, Controllability and Observability: - Definitions, controllability and observability of continuous systems. Non- square systems, design of multivariable controllers, decoupling, singular value decomposition, model- based controller design for MIMO systems, Basics of Pressure swing adsorption -Real-time optimization -Simulation using MATLAB, ASPEN etc.
Module 3: (13 hours)
Advanced Control Systems
Synthesis of advanced control systems: Advanced control of process heater, biochemical reactor, refinery atmospheric crude oil distillation unit, polymerization reactors etc. industrial examples. Control of systems exhibiting multiple steady states
Reference:
1. D.E. Seborg, T.F. Edger, D.A. Millichamp and Francis J. Doyle III, Process Dynamics and Control, John Wiley and Sons, 3rd Edn, 2011.
2. Ogunnaike and W.H.Ray, Process Dynamics, Modelling and Control, Oxford Press, 1994.
3. Wayne Bequette, Process Control: Modeling, Design and Simulation, Prentice Hall, 2003.
4. D.R. Coughanour, S.E. LeBlanc, Process Systems analysis and Control, McGraw-Hill, 2nd Edn, 2009.
5. George Stephanopoulos, Chemical Process Control, an introduction to theory and practice, Prentice -Hall, 1984.
6. K. Ogata, Modern Control Engineering, Prentice-Hall, 2010.
7. Chidambaram, M. Computer Control of Processes, Narosa Publishing House, New Delhi, 1st Edn. 2002.
8. Bestha, C. S. & Chidambaram, M. Centralized PID Controllers for Linear Multivariable Systems. Ane Books. 2023.