Parameter adjustment of control systems by multiobjective fuzzy satisficing approach

Takanori Kiyota, Eiji Kondo, Masashi Noda, Yasutaka Tsuji

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

Abstract

This paper proposes a control system design method by the multiobjective fuzzy satisficing approach using Genetic Algorithm (GA). First, a control system design is formulated as a constrained multiobjective optimization problem, and it is transformed into a fuzzy satisficing problem by introducing the aspiration level and the unsatisfying function. It is solved by a GA interactively. Then, the proposed method is applied to the design of two-degree-of-freedom LQI servo systems. Furthermore, the virtual command signal is introduced to improve the transient response.

Original languageEnglish
Title of host publicationIFAC Proceedings Volumes (IFAC-PapersOnline)
EditorsGabriel Ferrate, Eduardo F. Camacho, Luis Basanez, Juan. A. de la Puente
PublisherIFAC Secretariat
Pages37-42
Number of pages6
Edition1
ISBN (Print)9783902661746
DOIs
Publication statusPublished - 2002
Event15th World Congress of the International Federation of Automatic Control, 2002 - Barcelona, Spain
Duration: Jul 21 2002Jul 26 2002

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Number1
Volume15
ISSN (Print)1474-6670

Conference

Conference15th World Congress of the International Federation of Automatic Control, 2002
CountrySpain
CityBarcelona
Period7/21/027/26/02

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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