Reinforcement learning control for six-phase permanent magnet synchronous motor position servo drive

Wei Lun Peng, Yung Wen Lan, Shih Gang Chen, Faa Jeng Lin, Ray I. Chang, Jan Ming Ho

研究成果: 書貢獻/報告類型會議論文篇章同行評審

5 引文 斯高帕斯(Scopus)

摘要

Since the permanent magnet synchronous motor (PMSM) has nonlinear dynamic behavior characteristics, it is difficult to develop an ideal controller. In this paper, we develop a novel method for the six-phase PMSM (6PPMSM) position servo drive based on deep reinforcement learning (RL). Comparison studies between the proposed controller and the recurrent fuzzy neural cerebellar model articulation network (RFNCMAN) controller are presented. The results show that our controller can follow the reference trajectories more precisely in general cases, where the average tracking error obtained is 90% smaller than that of RFNCMAN.

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主出版物標題Proceedings of the 3rd IEEE International Conference on Knowledge Innovation and Invention 2020, ICKII 2020
編輯Teen-Hang Meen
發行者Institute of Electrical and Electronics Engineers Inc.
頁面332-335
頁數4
ISBN(電子)9781728193335
DOIs
出版狀態已出版 - 21 8月 2020
事件3rd IEEE International Conference on Knowledge Innovation and Invention, ICKII 2020 - Kaohsiung, Taiwan
持續時間: 21 8月 202023 8月 2020

出版系列

名字Proceedings of the 3rd IEEE International Conference on Knowledge Innovation and Invention 2020, ICKII 2020

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???event.eventtypes.event.conference???3rd IEEE International Conference on Knowledge Innovation and Invention, ICKII 2020
國家/地區Taiwan
城市Kaohsiung
期間21/08/2023/08/20

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