Intelligent Backstepping Control of Synchronous Reluctance Motor Drive System

Faa Jeng Lin, Shih Gang Chen, Che Wei Hsu

研究成果: 書貢獻/報告類型會議論文篇章同行評審

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.

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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
出版狀態已出版 - 9 1月 2019
事件2018 International Automatic Control Conference, CACS 2018 - Taoyuan, Taiwan
持續時間: 4 11月 20187 11月 2018

出版系列

名字2018 International Automatic Control Conference, CACS 2018

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???event.eventtypes.event.conference???2018 International Automatic Control Conference, CACS 2018
國家/地區Taiwan
城市Taoyuan
期間4/11/187/11/18

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