NDLI: Model reference adaptive fuzzy neural network control based speed servo system of linear permanent magnet synchronous motor

Content Provider	IEEE Xplore Digital Library
Author	Wang Chengyuan Shen Xianqing Xia Jiakuan Mi Xin
Copyright Year	2007
Description	Author affiliation: Shenyang Univ. of Technol., Shenyang (Wang Chengyuan; Shen Xianqing; Xia Jiakuan; Mi Xin)
Abstract	Abstract: Accounting for the closed-loop control system of linear permanent magnet synchronous motor is apt to be disturbed. It is the main problem which can degrade the performance of the control system and even destabilize the system. Presenting an on-line identification method of model reference adaptive control based on fuzzy neural network on the paper. And the inputs and membership parameters of the fuzzy controller are modified in real-time by a gradient method. It is proved that the method above is valid for improving the resolving of velocity detects device and dynamic response by simulation and practice. And the system is robust.
Starting Page	1802
Ending Page	1805
File Size	305497
Page Count	4
File Format	PDF
ISBN	9788986510072
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-08
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	KIEE
Subject Keyword	Adaptive systems Programmable control Adaptive control Fuzzy neural networks Fuzzy control Servomechanisms Permanent magnet motors Control systems Degradation Gradient methods Time-delay compensator Model Reference Adaptive Control Fuzzy Neural Network LPMSM
Content Type	Text
Resource Type	Article

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Model reference adaptive fuzzy neural network control based speed servo system of linear permanent magnet synchronous motor