Automatic Tuning Method for PMSM using Big Data based Artificial Neural Network

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: 2022/01/01

タイトル(英語): Automatic Tuning Method for PMSM using Big Data based Artificial Neural Network

著者名: Sari Maekawa (Department of Systems Design Engineering, Faculty of Science and Technology, Seikei University)

著者名(英語): Sari Maekawa (Department of Systems Design Engineering, Faculty of Science and Technology, Seikei University)

キーワード: PMSM，automatic tuning，ANN，big data，sensorless control，synchronous control

要約(英語): Methods based on linear analysis have been studied for stable control of permanent magnet synchronous motors; however, they are difficult to apply in the operating regions and under control conditions that cannot be linearized. In such instances, trial and error tuning is required to obtain the desired characteristics. In this study, we investigate a method of learning for an artificial neural network using a large amount of adjusted PMSM parameter data and derive the control parameters to stably drive the PMSM.

本誌: IEEJ Journal of Industry Applications Vol.11 No.1 （2022）

本誌掲載ページ: 185-186 p

原稿種別: 研究開発レター／英語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejjia/11/1/11_L21000741/_article/-char/ja/