Radial basis function network control with improved particle swarm optimization for induction generator system

NCUIR > College of Electrical Engineering & Computer Science > Graduate Institute of Electrical Engineering > journal & Dissertation > Item 987654321/31893

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/31893

Title:	Radial basis function network control with improved particle swarm optimization for induction generator system
Authors:	Lin,Faa-Jeng;Teng,Li-Tao;Yu,Meng-Hsiung
Contributors:	電機工程研究所
Keywords:	FUZZY NEURAL-NETWORK;WIND TURBINES;STAND-ALONE;PWM INVERTER;MOTOR DRIVE;DESIGN;RBFN
Date:	2008
Issue Date:	2010-07-06 18:13:52 (UTC+8)
Publisher:	中央大學
Abstract:	This study proposes a radial basis function network (RBFN) controlled three-phase induction generator (IG) system using ac-dc and dc-ac power converters. In this study, first, the indirect field-oriented mechanism is implemented for the control of the IG.
Relation:	IEEE TRANSACTIONS ON POWER ELECTRONICS????
Appears in Collections:	[Graduate Institute of Electrical Engineering] journal & Dissertation

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	564	View/Open

社群 sharing