Design of self-tuning PID controllers using a genetic algorithm

Yasue Mitsukura, Toru Yamamoto, Masahiro Kaneda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

67 Citations (Scopus)

Abstract

In this paper, a new 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.

Original languageEnglish
Title of host publicationProceedings of the American Control Conference
PublisherIEEE
Pages1361-1365
Number of pages5
Volume2
Publication statusPublished - 1999
Externally publishedYes
EventProceedings of the 1999 American Control Conference (99ACC) - San Diego, CA, USA
Duration: 1999 Jun 21999 Jun 4

Other

OtherProceedings of the 1999 American Control Conference (99ACC)
CitySan Diego, CA, USA
Period99/6/299/6/4

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ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Mitsukura, Y., Yamamoto, T., & Kaneda, M. (1999). Design of self-tuning PID controllers using a genetic algorithm. In Proceedings of the American Control Conference (Vol. 2, pp. 1361-1365). IEEE.