Design of self-tuning PID controllers using a genetic algorithm

Yasue Mitsukura, Toru Yamamoto, Masahiro Kaneda

Research output: Contribution to journalConference article

68 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
Pages (from-to)1361-1365
Number of pages5
JournalProceedings of the American Control Conference
Volume2
Publication statusPublished - 1999 Dec 1
Externally publishedYes
EventProceedings of the 1999 American Control Conference (99ACC) - San Diego, CA, USA
Duration: 1999 Jun 21999 Jun 4

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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