Multivariable integral control with input constraints

Author

Gyugyi, Paul J. ; Franklin, Gene

Author_Institution

Inf. Syst. Lab., Stanford Univ., CA, USA

fYear

1993

fDate

15-17 Dec 1993

Firstpage

2505

Abstract

A method for designing integral control for a multivariable plant which handles actuator saturation in a stable and optimal way is presented. Multivariable techniques are used which attempt to get the best error reduction with a given control authority using only feedback information. Sufficient conditions for stability are given in the form of coupled Lyapunov equations. Results from an experimental rapid thermal processing system show that the operating range of the feedback controller was doubled over a controller which made no design provisions for actuator saturation

Keywords

control nonlinearities; control system synthesis; feedback; multivariable control systems; optimal control; stability criteria; actuator saturation; coupled Lyapunov equations; experimental rapid thermal processing system; feedback controller; input constraints; multivariable integral control; optimisation; stability conditions; Actuators; Adaptive control; Design methodology; Equations; Error correction; Feedback; Optimal control; Rapid thermal processing; Stability; Sufficient conditions;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1993., Proceedings of the 32nd IEEE Conference on

Conference_Location

San Antonio, TX

Print_ISBN

0-7803-1298-8

Type

conf

DOI

10.1109/CDC.1993.325647

Filename

325647