Intelligent Online Auto-Tuning Technique for IPMSM Servo Drive

Faa Jeng Lin; Shih Gang Chen; Hsiao Tse Chou; Jyun Ru Lin

doi:10.1109/IFEEC47410.2019.9014955

Intelligent Online Auto-Tuning Technique for IPMSM Servo Drive

Faa Jeng Lin, Shih Gang Chen, Hsiao Tse Chou, Jyun Ru Lin

電機工程學系

研究成果: 書貢獻/報告類型 › 會議論文篇章 › 同行評審

摘要

A real-time moment of inertia identification technique using wavelet fuzzy neural network (WFNN) for an interior permanent magnet synchronous motor (IPMSM) servo drive is proposed in this study. The estimated moment of inertia will be used in the online design of an integral-proportional (IP) speed controller to achieve the gains auto-tuning of the IPMSM servo drive. In this study, first, the dynamic analysis of a field-oriented control (FOC) IPMSM servo drive system with an IP speed controller is studied. Then, a heuristic approach using the WFNN is proposed for the real-time identification of the moment of inertia of the IPMSM servo drive system. Moreover, the network structure and the convergence analysis of the WFNN are introduced. Furthermore, an IPMSM servo drive based on a high performance digital signal processor (DSP) is developed. Finally, from the experimental results, the gains of the IP speed controller can be effectively tuned online at different operating conditions.

原文	???core.languages.en_GB???
主出版物標題	2019 IEEE 4th International Future Energy Electronics Conference, IFEEC 2019
發行者	Institute of Electrical and Electronics Engineers Inc.
ISBN（電子）	9781728131535
DOIs	https://doi.org/10.1109/IFEEC47410.2019.9014955
出版狀態	已出版 - 11月 2019
事件	4th IEEE International Future Energy Electronics Conference, IFEEC 2019 - Singapore, Singapore 持續時間: 25 11月 2019 → 28 11月 2019

出版系列

名字	2019 IEEE 4th International Future Energy Electronics Conference, IFEEC 2019

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	4th IEEE International Future Energy Electronics Conference, IFEEC 2019
國家/地區	Singapore
城市	Singapore
期間	25/11/19 → 28/11/19

存取文件

10.1109/IFEEC47410.2019.9014955

以數位訊號處理器為基礎之高效能同步磁阻馬達驅動系統(2/3)
Lin, F.-J. (PI)
1/08/19 → 31/07/20
研究計畫: Research

引用此

Lin, F. J., Chen, S. G., Chou, H. T., & Lin, J. R. (2019). Intelligent Online Auto-Tuning Technique for IPMSM Servo Drive. 於 2019 IEEE 4th International Future Energy Electronics Conference, IFEEC 2019 文章 9014955 (2019 IEEE 4th International Future Energy Electronics Conference, IFEEC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IFEEC47410.2019.9014955

@inproceedings{cdd5f9a5a15946f994605b765d8e0292,

title = "Intelligent Online Auto-Tuning Technique for IPMSM Servo Drive",

abstract = "A real-time moment of inertia identification technique using wavelet fuzzy neural network (WFNN) for an interior permanent magnet synchronous motor (IPMSM) servo drive is proposed in this study. The estimated moment of inertia will be used in the online design of an integral-proportional (IP) speed controller to achieve the gains auto-tuning of the IPMSM servo drive. In this study, first, the dynamic analysis of a field-oriented control (FOC) IPMSM servo drive system with an IP speed controller is studied. Then, a heuristic approach using the WFNN is proposed for the real-time identification of the moment of inertia of the IPMSM servo drive system. Moreover, the network structure and the convergence analysis of the WFNN are introduced. Furthermore, an IPMSM servo drive based on a high performance digital signal processor (DSP) is developed. Finally, from the experimental results, the gains of the IP speed controller can be effectively tuned online at different operating conditions.",

keywords = "Interior permanent magnet synchronous motor, online gain auto-tuning, wavelet fuzzy neural network",

author = "Lin, {Faa Jeng} and Chen, {Shih Gang} and Chou, {Hsiao Tse} and Lin, {Jyun Ru}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 4th IEEE International Future Energy Electronics Conference, IFEEC 2019 ; Conference date: 25-11-2019 Through 28-11-2019",

year = "2019",

month = nov,

doi = "10.1109/IFEEC47410.2019.9014955",

language = "???core.languages.en_GB???",

series = "2019 IEEE 4th International Future Energy Electronics Conference, IFEEC 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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}

Lin, FJ, Chen, SG, Chou, HT & Lin, JR 2019, Intelligent Online Auto-Tuning Technique for IPMSM Servo Drive. 於 2019 IEEE 4th International Future Energy Electronics Conference, IFEEC 2019., 9014955, 2019 IEEE 4th International Future Energy Electronics Conference, IFEEC 2019, Institute of Electrical and Electronics Engineers Inc., 4th IEEE International Future Energy Electronics Conference, IFEEC 2019, Singapore, Singapore, 25/11/19. https://doi.org/10.1109/IFEEC47410.2019.9014955

Intelligent Online Auto-Tuning Technique for IPMSM Servo Drive. / Lin, Faa Jeng; Chen, Shih Gang; Chou, Hsiao Tse 等.
2019 IEEE 4th International Future Energy Electronics Conference, IFEEC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 9014955 (2019 IEEE 4th International Future Energy Electronics Conference, IFEEC 2019).

研究成果: 書貢獻/報告類型 › 會議論文篇章 › 同行評審

TY - GEN

T1 - Intelligent Online Auto-Tuning Technique for IPMSM Servo Drive

AU - Lin, Faa Jeng

AU - Chen, Shih Gang

AU - Chou, Hsiao Tse

AU - Lin, Jyun Ru

PY - 2019/11

Y1 - 2019/11

N2 - A real-time moment of inertia identification technique using wavelet fuzzy neural network (WFNN) for an interior permanent magnet synchronous motor (IPMSM) servo drive is proposed in this study. The estimated moment of inertia will be used in the online design of an integral-proportional (IP) speed controller to achieve the gains auto-tuning of the IPMSM servo drive. In this study, first, the dynamic analysis of a field-oriented control (FOC) IPMSM servo drive system with an IP speed controller is studied. Then, a heuristic approach using the WFNN is proposed for the real-time identification of the moment of inertia of the IPMSM servo drive system. Moreover, the network structure and the convergence analysis of the WFNN are introduced. Furthermore, an IPMSM servo drive based on a high performance digital signal processor (DSP) is developed. Finally, from the experimental results, the gains of the IP speed controller can be effectively tuned online at different operating conditions.

AB - A real-time moment of inertia identification technique using wavelet fuzzy neural network (WFNN) for an interior permanent magnet synchronous motor (IPMSM) servo drive is proposed in this study. The estimated moment of inertia will be used in the online design of an integral-proportional (IP) speed controller to achieve the gains auto-tuning of the IPMSM servo drive. In this study, first, the dynamic analysis of a field-oriented control (FOC) IPMSM servo drive system with an IP speed controller is studied. Then, a heuristic approach using the WFNN is proposed for the real-time identification of the moment of inertia of the IPMSM servo drive system. Moreover, the network structure and the convergence analysis of the WFNN are introduced. Furthermore, an IPMSM servo drive based on a high performance digital signal processor (DSP) is developed. Finally, from the experimental results, the gains of the IP speed controller can be effectively tuned online at different operating conditions.

KW - Interior permanent magnet synchronous motor

KW - online gain auto-tuning

KW - wavelet fuzzy neural network

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AN - SCOPUS:85082385142

T3 - 2019 IEEE 4th International Future Energy Electronics Conference, IFEEC 2019

BT - 2019 IEEE 4th International Future Energy Electronics Conference, IFEEC 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 4th IEEE International Future Energy Electronics Conference, IFEEC 2019

Y2 - 25 November 2019 through 28 November 2019

ER -

Intelligent Online Auto-Tuning Technique for IPMSM Servo Drive

摘要

出版系列

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指紋

專案

以數位訊號處理器為基礎之高效能同步磁阻馬達驅動系統(2/3)

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