Title :
A design of self-tuning PID controllers using a genetic algorithm
Author :
Mitsukura, Yasue ; Yamamoto, Toru ; Kaneda, Masahiro
Author_Institution :
Dept. of Commun. Eng., Okayama Prefectural Univ., Japan
Abstract :
A self-tuning PID controller design scheme is proposed, which is able to deal with systems with unknown or time-varying parameters. The proposed scheme is derived based on the relationship between PID control and generalized minimum variance control (GMVC) laws. Furthermore, a suitable set of some user-specified parameters included in the GMVC criterion is sought by using a genetic algorithm recursively. A numerical simulation example shows the effectiveness of the newly proposed control scheme
Keywords :
adaptive control; control system synthesis; genetic algorithms; self-adjusting systems; three-term control; transfer functions; design scheme; generalized minimum variance control laws; self-tuning PID controllers; Algorithm design and analysis; Communication system control; Control system synthesis; Control systems; Electrical equipment industry; Genetic algorithms; Least squares approximation; Recursive estimation; Three-term control; Tuning;
Conference_Titel :
American Control Conference, 1999. Proceedings of the 1999
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4990-3
DOI :
10.1109/ACC.1999.783590
