054414  PROCESS CONTROL SYSTEM DESIGN

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)

Seborg, D. E., Edgar, T.F. and Mellichamp, D. A., Process Dynamics and Control, Wiley (1989)

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

Week

Subject

1

Introduction and Review

2

Frequency Domain Analysis

3

Frequency Domain Stabilty Analysis

4

IMC Control Synthesis

5

IMC-PID Tuning

6

MISO and SIMO Systems

7

Introduction to MIMO Control 

8

Introduction to Discrete Systems

9

Analysis of Discrete Response 

10

Stability and Root Locus Design

11

Systematic Discrete Control Design

12

Model Predictive Control

Please see the complete course web-site under Moodle.