Feedback Error Learning-Based Position Control in Position-Sensorless Positioning Servo Systems for IPMSMs

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: 2023/07/01

タイトル(英語): Feedback Error Learning-Based Position Control in Position-Sensorless Positioning Servo Systems for IPMSMs

著者名: Naoki Kawamura (Faculty of Science and Technology, Seikei University/School of Advance Science and Engineering, Waseda University), Shota Inoue (Graduate School of Engineering, Chiba University), Tadanao Zanma (Graduate School of Engineering, Chiba Univer

著者名(英語): Naoki Kawamura (Faculty of Science and Technology, Seikei University/School of Advance Science and Engineering, Waseda University), Shota Inoue (Graduate School of Engineering, Chiba University), Tadanao Zanma (Graduate School of Engineering, Chiba University), Keiichiro Kondo (School of Advance Science and Engineering, Waseda University), Kenta Koiwa (Graduate School of Engineering, Chiba University), Kang-Zhi Liu (Graduate School of Engineering, Chiba University), Masaaki Shibata (Faculty of Science and Technology, Seikei University)

キーワード: position-sensorless control，positioning servo system，learning control，feedback error learning，IPMSM

要約(英語): Position-sensorless positioning servo systems for interior permanent magnet synchronous motors (IPMSMs) have been developed to achieve dimension and cost reduction. In these systems, parameter mismatch between the IPMSM, position controller, and position estimator due to thermal variation and aged deterioration is inevitable. To solve this problem, a parameter identification method based on an adaptive scheme has been proposed. However, to use the adaptive scheme, this method can only be applied under no-load conditions, and it is difficult to compensate for parameter variations during actual operation, i.e., under load conditions.This paper proposes a novel learning-based position control in position-sensorless positioning servo systems. In the proposed method, a feedfoward controller established via learning adaptively compensates the parameter fluctuations in these systems. As learning progresses, the transient response of position control is improved while ensuring robustness to disturbance torque. The effectiveness of the proposed position control system is demonstrated via experiments.

本誌: IEEJ Journal of Industry Applications Vol.12 No.4 （2023） Special Issue on “IPEC-Himeji 2022”

本誌掲載ページ: 816-825 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/12/4/12_22010162/_article/-char/ja/