Fault-Tolerant Control of a Six-Phase Motor Drive System Using a Takagi-Sugeno-Kang Type Fuzzy Neural Network with Asymmetric Membership Function

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Title:	Fault-Tolerant Control of a Six-Phase Motor Drive System Using a Takagi-Sugeno-Kang Type Fuzzy Neural Network with Asymmetric Membership Function
Authors:	林法正;Lin, Faa-Jeng;Hung, Ying-Chih;Hwang, Jonq-Chin;Tsai, Meng-Ting
Contributors:	資訊電機學院電機工程學系
Keywords:	Applied sciences;Artificial neural networks;Asymmetric membership function (AMF);Asymmetry;Control algorithms;Control systems;Convergence;Dynamical systems;Dynamics;Electric, optical and optoelectronic circuits;Electrical engineering. Electrical power engineering;Electrical machines;Electronics;Exact sciences and technology;Fault tolerance;Fault tolerant systems;fault-tolerant control;Fuzzy control;Fuzzy logic;Fuzzy neural networks;Miscellaneous;Networks;Neural networks;Regulation and control;six-phase permanent-magnet synchronous motor (PMSM);Synchronous motors;Takagi-Sugeno-Kang type fuzzy neural network (TSKFNN);Testing, measurement, noise and reliability;Torque;Vectors;Windings
Date:	2013-01-11
Issue Date:	2026-04-23 14:00:13 (UTC+8)
Publisher:	Institute of Electrical and Electronics Engineers Inc.;New York, NY: IEEE
Abstract:	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 a six-phase permanent-magnet synchronous motor (PMSM) drive system. First, the dynamics of the six-phase PMSM drive system is described in detail. Then, the fault detection and operating decision method is briefly introduced. Moreover, to achieve the required control performance and to maintain the stability of a six-phase PMSM drive system under faulty condition, the TSKFNN-AMF control, which combines the advantages of a Takagi-Sugeno-Kang type fuzzy logic system and an asymmetric membership function, is developed. The network structure, online learning algorithm using a delta adaptation law, and convergence analysis of the TSKFNN-AMF are described in detail. Furthermore, to enhance the control performance of the proposed intelligent fault-tolerant control, a 32-bit floating-point digital signal processor TMS320F28335 is adopted for the implementation of the proposed fault-tolerant control system. Finally, some experimental results are illustrated to show the validity of the proposed TSKFNN-AMF fault-tolerant control for the six-phase PMSM drive system. 其他題名： TPEL 出版者： New York, NY: IEEE 出版日期： 2013-07-01 出處： IEEE transactions on power electronics, 2013-07, Vol.28 (7), p.3557-3572 資源來源： IEEE Electronic Library (IEL) 版權： 2014 INIST-CNRS 版權： Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Jul 2013 識別號： ISSN: 0885-8993 識別號： EISSN: 1941-0107 識別號： DOI: 10.1109/TPEL.2012.2224888 識別號： CODEN: ITPEE8
Appears in Collections:	[Department of Electrical Engineering] journal & Dissertation

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