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Feedback Controller Optimization for Mechatronic Systems with Unexpected Plant Perturbations Using Support Vector Machine

Feedback Controller Optimization for Mechatronic Systems with Unexpected Plant Perturbations Using Support Vector Machine

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カテゴリ: 論文誌(論文単位)

グループ名: 【D】産業応用部門(英文)

発行日: 2024/05/01

タイトル(英語): Feedback Controller Optimization for Mechatronic Systems with Unexpected Plant Perturbations Using Support Vector Machine

著者名: Takenori Atsumi (Department of Mechanical Engineering, Chiba Institute of Technology), Toshiki Saito (Department of Mechanical Engineering, Chiba Institute of Technology), Shota Yabui (Mechanical Systems Engineering, Tokyo City University), Yuki Nakata (D

著者名(英語): Takenori Atsumi (Department of Mechanical Engineering, Chiba Institute of Technology), Toshiki Saito (Department of Mechanical Engineering, Chiba Institute of Technology), Shota Yabui (Mechanical Systems Engineering, Tokyo City University), Yuki Nakata (Department of Mechanical Engineering, Chiba Institute of Technology), Shinsei Noshiro (Department of Mechanical Engineering, Chiba Institute of Technology), Shigeyuki Nakadai (Department of Mechanical Engineering, Chiba Institute of Technology)

キーワード: motion control,optimization,support vector machines,unexpected plant perturbations

要約(英語): This study aimed to introduce a simple optimization method that can enhance the feedback control system of mechatronic systems. This method can cope with unexpected plant perturbations without needing any dynamic models or frequency response knowledge of the system. The method uses support vector machine (SVM) techniques to fine-tune feedback controller parameters according to the experimental classification results. The method separates “success” and “failure” classes using hyperplanes and optimizes the parameters to achieve the desired performance. It enables control engineers to attain the desired robust performance without relying on any dynamic models, even for unstable and multi-output systems. To demonstrate the effectiveness of this method, we apply it to an inverted pendulum robot and show that it can achieve the desired performance against individual variations. This method can be applied to various mechatronic systems that face uncertainties and disturbances in their operating environments and has the potential to be widely used in the field of mechatronics.

本誌: IEEJ Journal of Industry Applications Vol.13 No.3 (2024)

本誌掲載ページ: 270-279 p

原稿種別: 論文/英語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejjia/13/3/13_23007317/_article/-char/ja/

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