NCU Institutional Repository:Item 987654321/31893

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    Please use this identifier to cite or link to this item: https://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

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