Prediction and adaptation in PID controller design

Author

Brown, Lyndon J. ; Meyn, Sean P.

Author_Institution

Coordinated Sci. Lab., Illinois Univ., Urbana, IL, USA

fYear

1993

fDate

15-17 Dec 1993

Firstpage

1575

Abstract

Gives an interpretation of minimum variance adaptive control as high gain proportional feedback combined with output predictions. It is argued that a more general class of systems may be controlled if the feedback gain is reduced, and methods for reducing the gain and analyzing the resulting controllers are described herein. As a special case the authors obtain a new formulation of adaptive PID control. Frequency domain analysis is emphasized in both control design and identification

Keywords

adaptive control; control system analysis; control system synthesis; feedback; frequency-domain analysis; frequency-domain synthesis; predictive control; proportional control; three-term control; PID controller design; control design; feedback gain; frequency domain analysis; high gain proportional feedback; identification; minimum variance adaptive control; output predictions; Adaptive control; Condition monitoring; Control systems; Feedback; Frequency estimation; Least squares methods; Parameter estimation; Phase estimation; Three-term control; Transfer functions;

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.1993.325452

Filename

325452