054461  PROCESS CONTROL LABORATORY

OBJECTIVES

On completion of this course, the student will be able to:

  • Define the structure and tuning parameters of the most suitable single input single output (SISO) control system given an uncertain linear model describing the process to be controlled and the specifications of the desired closed loop performance. SISO control systems are the class of controllers including single loop and cascade feedback controllers, dead-time and inverse response compensators and feedforward-feedback systems.
  • Define the most suitable pairing for a decentralized control system for a multiple input-multiple output (MIMO) process, described in terms of a linear transfer function model. For two input-two output (2x2) and simple higher order cases, the student will also be able to define pairing and provide tuning parameters for the controllers that guarantee closed loop stability for the system.
  • Design and implement discrete controllers – for both SISO and MIMO systems. Methods covered include – model-based SISO controllers and MPC controllers for MIMO systems.

REFERENCES

Ogunnaike, B.A., and W.H. Ray, Process Dynamics, Modeling and Control, Oxford Univ. Press, New York (1994)

Stephanopoulos, G., Chemical Process Control, Prentice-Hall, Englewood Cliffs, New Jersey (1984)

Luyben, W. L., Process Modeling, Simulation and Control for Chemical Engineers, 2nd. Ed., McGraw-Hill, New York (1990)

 

SCHEDULE

Lab 

Subject

1

Introduction and Review

2

Frequency Domain Analysis

3

IMC Control Synthesis/PID Tuning

4

MISO and SIMO Control Systems

5

MIMO Control Systems

 

Please see the complete course web-site under Moodle.