負荷共振系の高速・高精度位置決め制御における付加入力フィードフォワード補償のデータ駆動調整

カテゴリ: 部門大会

論文No: TC8-2-3

グループ名: 【C】2023年電気学会電子・情報・システム部門大会

発行日: 2023/08/23

タイトル(英語): Data-Driven Tuning of Additional Feedforward Compensation in Fast and Precise Positioning Control of Load Resonance Systems

著者名: 山口 大伍（名古屋工業大学）,佐藤 慎平（名古屋工業大学）,前田 佳弘（名古屋工業大学）,岩崎 誠（名古屋工業大学）

著者名(英語): Daigo Yamaguchi (Nagoya Institute of Technology),Shimpei Sato (Nagoya Institute of Technology),Yoshihiro Maeda (Nagoya Institute of Technology),makoto Iwasaki (Nagoya Institute of Technology)

キーワード: 付加入力フィードフォワード補償|データ駆動調整|負荷共振系|高速・高精度位置決め|実験評価|additional feedforward compensation,|data-driven tuning|load resonance systems|fast and precise positioning|experimental evaluation

要約(日本語): Load resonance systems often exhibit complex dynamics and are susceptible to resonance vibrations, which can degrade the performance of fast and precise positioning. This paper investigates and evaluates a datadriven tuning method for additional feedforward (FF) compensation in the control of load resonance systems, with a focus on achieving enhanced fast and precise positioning capabilities. The method aims to mitigate undesired error responses, including resonance vibrations caused by modeling errors. The paper presents detailed insights into the theoretical aspects and methodologies of the FF tuning. To assess the effectiveness of the proposed tuning method, rigorous experiments are conducted using a galvano scanner for printed circuit boards laser processing machines.