非反証制御に基づく感度最小化のためのデータ駆動型制御器設計

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2017/10/01

タイトル(英語): Data-Driven Controller Tuning Based on Unfalsified Control for Sensitivity Minimization

著者名: 堀　智貴（三重大学），弓場井　一裕（三重大学），矢代　大祐（三重大学），駒田　諭（三重大学）

著者名(英語): Tomoki Hori (Mie University), Kazuhiro Yubai (Mie University), Daisuke Yashiro (Mie University), Satoshi Komada (Mie University)

キーワード: H∞制御，感度最小化，データ駆動，凸最適化，擬似入力外乱　　H∞ control，sensitivity minimization，data-driven，convex optimization，fictitious input disturbance

要約(英語): By achieving low sensitivity, it is possible to suppress influence of perturbation in a plant and disturbances. In model-based controller syntheses, the sensitivity function is minimized using a mathematical model of a plant while internal stability of the closed-loop system is maintained. However, there are some difficult cases where a precise mathematical model of the plant cannot be obtained. Moreover, if there is a large error between a plant model and an actual plant, the designed controller might not show desired performance, at the worst case, the system would be destabilized. This paper focuses on data-driven controller tuning methods because they does not need system identification and design controller by using only input-output data. This paper proposes a design method to achieve sensitivity minimization by using only input-output data.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.137 No.10 （2017）

本誌掲載ページ: 1364-1372 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/137/10/137_1364/_article/-char/ja/