Adaptive recurrent-neural-network control for linear induction motor

NCUIR > College of Electrical Engineering & Computer Science > Graduate Institute of Electrical Engineering > journal & Dissertation > Item 987654321/32579

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/32579

Title:	Adaptive recurrent-neural-network control for linear induction motor
Authors:	Wai,RJ;Lin,FJ
Contributors:	電機工程研究所
Keywords:	POSITION CONTROLLER;NONLINEAR-SYSTEMS;DYNAMIC-SYSTEMS;VECTOR CONTROL;IDENTIFICATION;PERFORMANCE;LINEARIZATION;THRUST;DRIVE
Date:	2001
Issue Date:	2010-07-06 18:32:48 (UTC+8)
Publisher:	中央大學
Abstract:	In this study an adaptive recurrent-neural-network controller (ARNNC) Is proposed to control a linear Induction motor (LIM) servo drive. First, the secondary flux of the LIM is estimated with an adaptive flux observer on the stationary reference frame and
Relation:	IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
Appears in Collections:	[Graduate Institute of Electrical Engineering] journal & Dissertation

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