Adaptive position tracking control of a BLDC motor using a recurrent wavelet neural network

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Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/34140

Title:	Adaptive position tracking control of a BLDC motor using a recurrent wavelet neural network
Authors:	許駿飛 Hsu, Chun-Fei
Contributors:	電機工程學系 Electrical Engineering
Keywords:	Lyapunov stability theorem;brushless DC;BLDC;motor
Date:	2009
Issue Date:	2014-06-27 02:40:34 (UTC+8)
Abstract:	An adaptive position tracking control (APTC) system, which is composed of a neural controller and a robust controller, is proposed in this paper. The neural controller uses the recurrent wavelet neural network structure to online mimic an ideal controller
Appears in Collections:	[Department of Electrical Engineering] Seminar Papers

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