「運動と振動の制御」シンポジウム講演論文集
Online ISSN : 2424-3000
セッションID: B18
会議情報
B18 遺伝的アルゴリズムを用いた強安定セルフチューニングコントローラの構成(OS9 適応学習制御とその応用)
矢納 陽Mingcong DENG井上 昭
著者情報
会議録・要旨集 フリー

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抄録
This paper proposes a design scheme of self-tuning generalized minimum variance control (GMVC) having a new design parameter. The design parameter is introduced by applying coprime factorization approach and Youla-Kucera parameterization of stabilizing compensators to a generalized minimum variance controller. And it is selected by using a genetic algorithm so that the controller is designed to be stable. Therefore the proposed method gives a strongly stable system, that is, not only the closed-loop system is stable, but also the controller itself is stable.
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© 2009 一般社団法人 日本機械学会
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