Module 1: Feed forward & Ratio Control -Introduction Ratio Control Feed-forward Controller design based on steady state models, Feed forward controller design based on dynamic models Relationship between the steady state & Dynamic design methods, configuration for feed forward-feedback control Tuning feed forward controllers. (6 hours)
Module 2: Enhanced single loop control strategies –Cascade Control, Time delay compensation, Inferential control, split range control, selective /override control, Adaptive control.
(6 hours)
Module 3: Multi loop & Multi variable control-Process interaction & control loop interaction pairing of controlled & manipulated variables, Tuning of multi loop PID control system, Decoupling & multi variable control strategies Strategies for reducing control loop interaction.
(10 hours)
Module 4: Model predictive control-Multi variable, optimization problems, Dynamic matrix control, Other MPC methods.
(8 hours)
Module 5: Model based control- Internal Model Control-Introduction Open loop controller Design Model uncertainity and disturbances, IMC structure IMC design Effect of Model uncertainity & disturbances. IMC based PID procedure-Equivalent feedback form to IMC IMC based feedback design with Time delay as well as without time delay IMC based PID controller design for stable and unstable processes Plantwide Control.
(10 hours)

To understand the principles of advanced process control and its role in optimizing plant performance.

To apply various advanced process control techniques to improve the efficiency, productivity and quality of various processes.

To develop skills to design and implement advanced process control systems for various processes.

To analyze and diagnose the performance of advanced process control systems.

After the completion of this course, students will be able to:
CO1: understand knowledge on fundamental principles and concepts of process control.
CO2: describe the various control strategies applied in process industries.
CO3: apply the knowledge of process control to design the control algorithms and its tuning.
CO4: evaluate and judge the comparative performance of the different control strategies.
CO5: optimization and safety evaluation of the overall process control system of an industry.

Dale E.Sebarg,Thomas F. Edgar, Process dynamics & control, John Wiley & Son

B.wayne Bequette, Process Control Modeling, Design & Simulation, PHI

Surekha Bhanot, Process Control principles and Applications, Oxford

William L. Luyben, Essentials of Process control, Mcgraw Hill International