A motor control method by using Machine learning

Kano Matsuura, Kan Akatsu

研究成果: Conference contribution

抄録

It is believed that further popularization of highly efficient PMSM in recent years can contribute to energy consumption reduction. Therefore, further development of electric motor technology is required. The control method that can deal with nonlinear elements is proposed by performing control using RT-simulation. However, the conventional RT-simulation based control can not cope with changes in motor parameters. To solve this problem, We propose to make the motor model which can respond with the change of motor parameters by using machine learning algorithm.

本文言語English
ホスト出版物のタイトル23rd International Conference on Electrical Machines and Systems, ICEMS 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ページ652-655
ページ数4
ISBN(電子版)9784886864192
DOI
出版ステータスPublished - 2020 11 24
外部発表はい
イベント23rd International Conference on Electrical Machines and Systems, ICEMS 2020 - Hamamatsu, Japan
継続期間: 2020 11 242020 11 27

出版物シリーズ

名前23rd International Conference on Electrical Machines and Systems, ICEMS 2020

Conference

Conference23rd International Conference on Electrical Machines and Systems, ICEMS 2020
国/地域Japan
CityHamamatsu
Period20/11/2420/11/27

ASJC Scopus subject areas

  • エネルギー工学および電力技術
  • 電子工学および電気工学
  • 機械工学
  • 安全性、リスク、信頼性、品質管理
  • 制御と最適化

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