Title :
Prediction and adaptation in PID controller design
Author :
Brown, Lyndon J. ; Meyn, Sean P.
Author_Institution :
Coordinated Sci. Lab., Illinois Univ., Urbana, IL, USA
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;
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.1993.325452