Parameter adjustment of control systems by multiobjective fuzzy satisficing approach

Takanori Kiyota, Eiji Kondo, Masashi Noda, Yasutaka Tsuji

Research output: Contribution to journalArticle

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
Pages (from-to)37-42
Number of pages6
JournalIFAC Proceedings Volumes (IFAC-PapersOnline)
Volume15
Issue number1
Publication statusPublished - Jan 1 2002

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Genetic algorithms
Systems analysis
Control systems
Servomechanisms
Constrained optimization
Multiobjective optimization
Transient analysis

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

Cite this

Parameter adjustment of control systems by multiobjective fuzzy satisficing approach. / Kiyota, Takanori; Kondo, Eiji; Noda, Masashi; Tsuji, Yasutaka.

In: IFAC Proceedings Volumes (IFAC-PapersOnline), Vol. 15, No. 1, 01.01.2002, p. 37-42.

Research output: Contribution to journalArticle

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