モデル誤差補正を備えた周期外乱オブザーバによるトルクリプル抑制制御

カテゴリ: 論文誌(論文単位)

グループ名: 【D】産業応用部門

発行日: 2014/02/01

タイトル(英語): Torque Ripple Suppression Control by Periodic Disturbance Observer with Model Error Correction

著者名: 山口　崇（（株）明電舎研究開発本部システム技術研究所／東京理科大学理工学部），只野　裕吾（（株）明電舎研究開発本部システム技術研究所），星　伸一（東京理科大学理工学部）

著者名(英語): Takashi Yamaguchi (Research & Development Group, MEIDENSHA CORPORATION/Faculty of Science and Technology, Tokyo University of Science), Yugo Tadano (Research & Development Group, MEIDENSHA CORPORATION), Nobukazu Hoshi (Faculty of Science and Technology, Tokyo University of Science)

キーワード: 学習機能，周期外乱オブザーバ，システム同定，トルクリプル　　learning function，periodic disturbance observer，system identification，torque ripple

要約(英語): This paper proposes a torque ripple suppression method for dealing with the system identification model error through learning and correction. A torque ripple generated by a motor or any other source causes many problems such as noise and vibration. We proposed the periodic disturbance observer to suppress a torque ripple. This method is a relatively simple control scheme built by using a system identification model. It has a high suppression effect regardless of the order of the target frequency. However, the model error leads to an increase in the convergence time to suppression and unstable control. Therefore, there is a need to improve the robustness against modeling errors.The proposed method corrects for the existing system model through dynamic system identification using a torque ripple component detection value and estimate value. By adding the error correction function to the periodic disturbance observer, the problem caused by the model error is solved and the robustness is improved. This paper explains the proposed method and demonstrates the effectiveness of the proposed method through simulation and experimental results.

本誌: 電気学会論文誌D（産業応用部門誌） Vol.134 No.2 （2014）

本誌掲載ページ: 185-192 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/ieejias/134/2/134_185/_article/-char/ja/