Syllabus

Module 1:
The notion of a system, stability (Routh Hurwitz’s, Root Locus method), Dead time compensator, Inverted response processes and compensators. [7 hrs.]

Module 2
Classical feedback control and controller design, Design of MISO system and Cascade Controller. PID tuning procedure in real plants, PID Tuning in time and frequency domain. Direct synthesis controller. Internal model control (IMC), IMC based PID design, direct synthesis controller. [14 hrs.]

. Module 3

MIMO systems: Extent of interaction and pairing of controlled and manipulated variable using RGA Matrix, SVD analysis, and singular value based condition number. Design of Decouplers, Practical procedure of MIMO system (closed loop) design. [9 hrs.]


Module 4

Elements of linear system theory (system description canonical transformation state controllability and observability), State estimator, State feedback controller, Pole placement and observer based controller. [9 hrs.]

To provide notion of system, state, and Stability of system. Stating types of transfer functions and processes including dead-time and Inverse response processes

Design of various classical controller including PID, and cascade controllers and tuning them in time and frequency domain, Direct synthesis controller, IMC and IMC based PID controller design (MATLAB/SIMULINK Platform).

To provide notion of MVSISO system, pairing of output-input variable (RGA, SVD analysis, singular value based condition number), decoupler design.

To introduce Linear system theory and Modern control system design (Design of controllers in state space on (MATLAB/SIMULINK Platform)

5. To impart proficiency in handling open and closed loop simulation of a dynamic process using MATLAB and SIMULINK platform

The students will be able to
CO1: Perform the qualitative analysis of process with respect to its order, stability, linearity/non-linearity, dead time and safety, Design of compensators (for Delayed and inverse response processes).
CO2: Design and tune PID controllers, internal model control (IMC and IMC based PID), Direct synthesis controller, Cascade controllers and simulate the concerned process in closed loop
CO3: Design and simulation of MVSISO systemafter pairing of output-input variable (RGA, SVD analysis, singular value based condition number), and decoupler design.
CO4: Analyse the MIMO process in state space, design state space controllers/Modern control system and simulation of closed loop process.
CO5: Perform closed loop simulation of a dynamic processusing MATLAB and SIMULINK platform

B.W. Bequette, Process Control: Modeling, Design, and Simulation (International Series in the Physical and Chemical Engineering Sciences), Prentice Hall Internation Series , 2nd Edition, 2021

Katsuhiko Ogata, Modern control engineering, Prentice Hall , 5th edition 2010

S. Skogestad and I. Postlethwaite, Multivariable feedback control analysis and design, Wiley , 2nd Edition, 2005

Dale E. Seborg, Thomas F. Edgar, Duncan A. Mellichamp, Process Dynamics & Control, John Wiley & Sons Ltd , 4th Edition 2016

Control Engineering Practice, ELSEVIER

Journal of Process Control,, ELSEVIER