A genetic algorithm based recurrent fuzzy neural network for linear induction motor servo drive

NCUIR > College of Electrical Engineering & Computer Science > Graduate Institute of Electrical Engineering > journal & Dissertation > Item 987654321/31952

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/31952

Title:	A genetic algorithm based recurrent fuzzy neural network for linear induction motor servo drive
Authors:	Lin,Faa-Jeng;Huang,Po-Kai;Chou,Wen-Der
Contributors:	電機工程研究所
Keywords:	ADAPTIVE BACKSTEPPING CONTROL;CONTROLLER;SYSTEMS;DESIGN
Date:	2007
Issue Date:	2010-07-06 18:15:12 (UTC+8)
Publisher:	中央大學
Abstract:	A genetic algorithm (GA) based recurrent fuzzy neural network (RFNN) is proposed to control the mover of a linear induction motor (LIM) servo drive for periodic motion in this paper. The GA is developed to search the optimal weights between the membership
Relation:	JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS
Appears in Collections:	[Graduate Institute of Electrical Engineering] journal & Dissertation

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