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JACIII Vol.5 No.1 pp. 71-77
doi: 10.20965/jaciii.2001.p0071
(2001)

Paper:

Fuzzy Control Using Piecewise Linear Membership Functions Based on Knowledge of Tuning a PID Controller

Kenichiro Hayashi, Akifumi Otsubo and Kazuhiko Shiranita

Applied Electronics Division, Industrial Technology Center of Saga, 114 Yaemizo, Nabeshima-cho, Saga-shi 849-0932, Japan

Received:
October 20, 2000
Accepted:
December 10, 2000
Published:
January 20, 2001
Keywords:
Fuzzy control, Simplified inference method, Piecewise linear membership function, PID controller, Tuning knowledge
Abstract

Tuning control parameters of a fuzzy controller depends on trial-and-error. How this can be accomplished efficiently is an important subject in fuzzy control that should be investigated. We propose a method in which membership functions of a fuzzy controller can be simply set up using the knowledge of tuning parameters in a conventional PID controller. In this method, fuzzy control is realized as follows: Piecewise linear membership functions determined using the knowledge of tuning parameters in a PID controller are set up in antecedent parts of four fuzzy control rules having simple structures. Then the simplified inference method that enables high-speed inference is applied to fuzzy control rules.

Cite this article as:
Kenichiro Hayashi, Akifumi Otsubo, and Kazuhiko Shiranita, “Fuzzy Control Using Piecewise Linear Membership Functions Based on Knowledge of Tuning a PID Controller,” J. Adv. Comput. Intell. Intell. Inform., Vol.5, No.1, pp. 71-77, 2001.
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