制振学習制御における連成振動抑制のための学習データ要件

カテゴリ：部門大会

論文No：TC11-1-5

グループ名：【C】2025年電気学会電子・情報・システム部門大会

発行日：2025/8/20

タイトル(英語)：On the Learning Data Requirements for Coupled Vibration Suppression in Vibration Suppression Learning Control

著者名：日比 勇汰（名古屋工業大学）,前田 佳弘（名古屋工業大学）

著者名(英語)： Yuta Hibi (Nagoya Institute of Technology),Yoshihiro Maeda (Nagoya Institute of Technology)

キーワード：制振学習制御,データ駆動型制御,連成振動,学習データ要件,vibration suppression learning control,data-driven control,coupled vibration,learning data requirements

要約(日本語)：In industrial machines such as electronics manufacturing machines and machine tools, fast and precise positioning of servo mechanisms induces coupled vibrations owing to the interaction of structural components, thereby degrading positioning accuracy. Recently, the authors proposed a vibration suppression learning control (VSLC) method as a data-driven feedforward control approach for suppressing such coupled vibrations. In this study, to clarify the theoretical limitations and enhance the practical applicability of the VSLC framework, we theoretically analyze the learning data requirements for achieving effective vibration suppression. The validity of the derived learning data requirements is verified through simulations using an example four-mass coupled vibration system.

本誌掲載ページ：433-439p

原稿種別：日本語

PDFファイルサイズ：3,361Kバイト