Intelligent Backstepping Control of Synchronous Reluctance Motor Drive System

Faa Jeng Lin; Shih Gang Chen; Che Wei Hsu

doi:10.1109/CACS.2018.8606767

Intelligent Backstepping Control of Synchronous Reluctance Motor Drive System

Faa Jeng Lin, Shih Gang Chen, Che Wei Hsu

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

3 引文斯高帕斯（Scopus）

摘要

An intelligent backstepping control (BSC) using recurrent feature selection fuzzy neural network (RFSFNN) is proposed to construct a high-performance synchronous reluctance motor (SRM) position drive system. First, the dynamics of the SRM position drive system and the BSC are briefly introduced. However, the lumped uncertainty of the SRM is unavailable to obtain in advance. Therefore, an intelligent backstepping control using recurrent feature selection fuzzy neural network (IBSCRFSFNN), which combines the advantages of recurrent neural network, fuzzy logic system and feature selection method, is developed to approximate an idea BSC and to maintain the stability of SRM position drive system. The network structure and online learning algorithm of the IBSCRFSFNN are described in detail. At last, the proposed control system is implemented in a floating-point TMS320F28075 digital signal processor. The experimental results are illustrated to show the validity of the proposed intelligent BSC system.

原文	???core.languages.en_GB???
主出版物標題	2018 International Automatic Control Conference, CACS 2018
發行者	Institute of Electrical and Electronics Engineers Inc.
ISBN（電子）	9781538662786
DOIs	https://doi.org/10.1109/CACS.2018.8606767
出版狀態	已出版 - 2 7月 2018
事件	2018 International Automatic Control Conference, CACS 2018 - Taoyuan, Taiwan 持續時間: 4 11月 2018 → 7 11月 2018

出版系列

名字	2018 International Automatic Control Conference, CACS 2018

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

???event.eventtypes.event.conference???	2018 International Automatic Control Conference, CACS 2018
國家/地區	Taiwan
城市	Taoyuan
期間	4/11/18 → 7/11/18

存取文件

10.1109/CACS.2018.8606767

應用智慧型控制六相永磁同步馬達驅動系統之電動轉向系統(3/3)
Lin, F.-J. (PI)
1/08/17 → 31/07/18
研究計畫: Research

引用此

@inproceedings{41ea23f3481f41458245a3199c0d2bc9,

title = "Intelligent Backstepping Control of Synchronous Reluctance Motor Drive System",

abstract = "An intelligent backstepping control (BSC) using recurrent feature selection fuzzy neural network (RFSFNN) is proposed to construct a high-performance synchronous reluctance motor (SRM) position drive system. First, the dynamics of the SRM position drive system and the BSC are briefly introduced. However, the lumped uncertainty of the SRM is unavailable to obtain in advance. Therefore, an intelligent backstepping control using recurrent feature selection fuzzy neural network (IBSCRFSFNN), which combines the advantages of recurrent neural network, fuzzy logic system and feature selection method, is developed to approximate an idea BSC and to maintain the stability of SRM position drive system. The network structure and online learning algorithm of the IBSCRFSFNN are described in detail. At last, the proposed control system is implemented in a floating-point TMS320F28075 digital signal processor. The experimental results are illustrated to show the validity of the proposed intelligent BSC system.",

author = "Lin, {Faa Jeng} and Chen, {Shih Gang} and Hsu, {Che Wei}",

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Lin, FJ, Chen, SG & Hsu, CW 2018, Intelligent Backstepping Control of Synchronous Reluctance Motor Drive System. 於 2018 International Automatic Control Conference, CACS 2018., 8606767, 2018 International Automatic Control Conference, CACS 2018, Institute of Electrical and Electronics Engineers Inc., 2018 International Automatic Control Conference, CACS 2018, Taoyuan, Taiwan, 4/11/18. https://doi.org/10.1109/CACS.2018.8606767

Intelligent Backstepping Control of Synchronous Reluctance Motor Drive System. / Lin, Faa Jeng; Chen, Shih Gang; Hsu, Che Wei.
2018 International Automatic Control Conference, CACS 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8606767 (2018 International Automatic Control Conference, CACS 2018).

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 Backstepping Control of Synchronous Reluctance Motor Drive System

AU - Lin, Faa Jeng

AU - Chen, Shih Gang

AU - Hsu, Che Wei

PY - 2018/7/2

Y1 - 2018/7/2

N2 - An intelligent backstepping control (BSC) using recurrent feature selection fuzzy neural network (RFSFNN) is proposed to construct a high-performance synchronous reluctance motor (SRM) position drive system. First, the dynamics of the SRM position drive system and the BSC are briefly introduced. However, the lumped uncertainty of the SRM is unavailable to obtain in advance. Therefore, an intelligent backstepping control using recurrent feature selection fuzzy neural network (IBSCRFSFNN), which combines the advantages of recurrent neural network, fuzzy logic system and feature selection method, is developed to approximate an idea BSC and to maintain the stability of SRM position drive system. The network structure and online learning algorithm of the IBSCRFSFNN are described in detail. At last, the proposed control system is implemented in a floating-point TMS320F28075 digital signal processor. The experimental results are illustrated to show the validity of the proposed intelligent BSC system.

AB - An intelligent backstepping control (BSC) using recurrent feature selection fuzzy neural network (RFSFNN) is proposed to construct a high-performance synchronous reluctance motor (SRM) position drive system. First, the dynamics of the SRM position drive system and the BSC are briefly introduced. However, the lumped uncertainty of the SRM is unavailable to obtain in advance. Therefore, an intelligent backstepping control using recurrent feature selection fuzzy neural network (IBSCRFSFNN), which combines the advantages of recurrent neural network, fuzzy logic system and feature selection method, is developed to approximate an idea BSC and to maintain the stability of SRM position drive system. The network structure and online learning algorithm of the IBSCRFSFNN are described in detail. At last, the proposed control system is implemented in a floating-point TMS320F28075 digital signal processor. The experimental results are illustrated to show the validity of the proposed intelligent BSC system.

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T3 - 2018 International Automatic Control Conference, CACS 2018

BT - 2018 International Automatic Control Conference, CACS 2018

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Intelligent Backstepping Control of Synchronous Reluctance Motor Drive System

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專案

應用智慧型控制六相永磁同步馬達驅動系統之電動轉向系統(3/3)

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