Intelligent fault tolerant control of six-phase motor drive system

Ying Chih Hung, Faa Jeng Lin

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

A Takagi-Sugeno-Kang type fuzzy neural network with asymmetric membership function (TSKFNN-AMF) is proposed in this study for the fault tolerant control of six-phase permanent magnet synchronous motor (PMSM) drive system. First, the dynamics of six-phase PMSM drive system, the fault detection and operating decision method are briefly introduced. Then, to achieve the required control performance and to maintain the stability of six-phase PMSM drive system under faulty condition, the TSKFNN-AMF control, which combines the advantages of TSK type fuzzy logic system (FLS) and AMF, is developed. The network structure and online learning algorithm of the TSKFNN-AMF are described in detail. Moreover, to enhance the control performance of the proposed intelligent fault tolerant control, a 32-bit floating-point digital signal processor (DSP) TMS320F28335, is adopted for the implementation. Finally, some experimental results are illustrated to show the validity of the proposed intelligent fault tolerant control for the six-phase PMSM drive system.

原文???core.languages.en_GB???
主出版物標題1st International Future Energy Electronics Conference, IFEEC 2013
發行者IEEE Computer Society
頁面635-640
頁數6
ISBN(列印)9781479900718
DOIs
出版狀態已出版 - 2013
事件1st International Future Energy Electronics Conference, IFEEC 2013 - Tainan, Taiwan
持續時間: 3 11月 20136 11月 2013

出版系列

名字1st International Future Energy Electronics Conference, IFEEC 2013

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???event.eventtypes.event.conference???1st International Future Energy Electronics Conference, IFEEC 2013
國家/地區Taiwan
城市Tainan
期間3/11/136/11/13

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