Design of self-tuning PID controllers using a genetic algorithm

Yasue Mitsukura; Toru Yamamoto; Masahiro Kaneda

Design of self-tuning PID controllers using a genetic algorithm

Yasue Mitsukura, Toru Yamamoto, Masahiro Kaneda

Research output: Contribution to journal › Conference article › peer-review

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 language	English
Pages (from-to)	1361-1365
Number of pages	5
Journal	Proceedings of the American Control Conference
Volume	2
Publication status	Published - 1999 Dec 1
Externally published	Yes
Event	Proceedings of the 1999 American Control Conference (99ACC) - San Diego, CA, USA Duration: 1999 Jun 2 → 1999 Jun 4

ASJC Scopus subject areas

Electrical and Electronic Engineering

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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.",

author = "Yasue Mitsukura and Toru Yamamoto and Masahiro Kaneda",

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AU - Kaneda, Masahiro

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N2 - 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.

AB - 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.

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M3 - Conference article

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VL - 2

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T2 - Proceedings of the 1999 American Control Conference (99ACC)

Y2 - 2 June 1999 through 4 June 1999

ER -

Design of self-tuning PID controllers using a genetic algorithm

Abstract

ASJC Scopus subject areas

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