Title :
Multivariable integral control with input constraints
Author :
Gyugyi, Paul J. ; Franklin, Gene
Author_Institution :
Inf. Syst. Lab., Stanford Univ., CA, USA
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;
Conference_Titel :
Decision and Control, 1993., Proceedings of the 32nd IEEE Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-1298-8
DOI :
10.1109/CDC.1993.325647
