A design method of type-1 servo systems by multiobjective fuzzy satisficing approach using genetic algorithms

Takanori Kiyota, Yasutaka Tsuji, Masashi Noda, Eiji Kondo

Research output: Contribution to journalArticle

Abstract

This paper discusses a control system design with various specifications in both the time-domain and the frequency-domain. First, a control system design is formulated as a multiobjective optimization problem, and it is transformed a fuzzy satisficing problem by introducing aspiration levels and unsatisfying functions. It is solved by a Genetic Algorithm (GA) interactively. Then, the proposed method is applied to the design of the two-degree-of-freedom LQI servo system with the virtual command signal. The effectiveness of the proposed method is demonstrated by a numerical example, which has an undesirable undershoot.

Original languageEnglish
Pages (from-to)2392-2398
Number of pages7
JournalNihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C
Volume70
Issue number8
Publication statusPublished - Aug 2004

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Servomechanisms
Genetic algorithms
Systems analysis
Control systems
Multiobjective optimization
Specifications

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering

Cite this

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