ガルバノスキャナにおけるトルク定数変動に対するロバスト制振学習制御の実験検証

カテゴリ：部門大会

論文No：TC11-1-4

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)：Experimental Verification of Robust Vibration Suppression Learning Control against Torque Constant Variations in Galvano Scanners

著者名：寺本 匠汰（名古屋工業大学）,前田 佳弘（名古屋工業大学）

著者名(英語)： Shota Teramoto (Nagoya Institute of Technology),Yoshihiro Maeda (Nagoya Institute of Technology)

キーワード：ロバスト制振学習制御,予測指向型データ駆動型制御,トルク定数変動,ガルバノスキャナ,robust vibration suppression learning control (R-VSLC),projection-oriented data-driven control,torque constant variation,galvanometer scanner

要約(日本語)：In fast and precise positioning of industrial mechatronic systems, variations of a torque constant owing to temperature changes during operation can degrade positioning accuracy. Robust control is a promising approach to address this issue, as it eliminates the need for iterative adaptation of compensators. The authors have previously proposed a robust vibration suppression learning control (R-VSLC) method as a projection-oriented, data-driven approach to enhance robustness compared to conventional VSLC. This study focuses on the experimental validation of the R-VSLC method. Specifically, its effectiveness was evaluated and demonstrated using a galvanometer scanner, in which the torque constant was deliberately varied by controlling the ambient temperature with a thermostatic chamber.

本誌掲載ページ：431-433p

原稿種別：日本語

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