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    請使用永久網址來引用或連結此文件: https://ir.lib.ncu.edu.tw/handle/987654321/107572


    題名: Intelligent control of doubly-fed induction generator systems using PIDNNs
    作者: 林法正;Lin, Faa-Jeng;Hwang, Jonq-Chin;Tan, Kuang-Hsiung;Lu, Zong-Han;Chang, Yung-Ruei
    貢獻者: 資訊電機學院電機工程學系
    關鍵詞: Doubly-fed induction generator;field-oriented control;proportional-integral-derivative neural network
    日期: 2012-05-01
    上傳時間: 2026-04-23 14:17:47 (UTC+8)
    出版者: Wiley-Blackwell;Chichester, UK: John Wiley & Sons, Ltd
    摘要: 摘要: An intelligent control for a stand‐alone doubly‐fed induction generator (DFIG) system using a proportional‐integral‐derivative neural network (PIDNN) is proposed in this study. This system can be applied as a stand‐alone power supply system or as the emergency power system when the electricity grid fails for all sub‐synchronous, synchronous, and super‐synchronous conditions. The rotor side converter is controlled using field‐oriented control to produce 3‐phase stator voltages with constant magnitude and frequency at different rotor speeds. Moreover, the grid side converter, which is also controlled using field‐oriented control, is primarily implemented to maintain the magnitude of the DC‐link voltage. Furthermore, the intelligent PIDNN controller is proposed for both the rotor and grid side converters to improve the transient and steady‐state responses of the DFIG system for different operating conditions. Both the network structure and online learning algorithm are introduced in detail. Finally, the feasibility of the proposed control scheme is verified through experimentation. Copyright © 2011 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society
    其他題名: Asian Journal of Control
    出版者: Chichester, UK: John Wiley & Sons, Ltd
    出版日期: 2012-05
    出處: Asian journal of control, 2012-05, Vol.14 (3), p.768-783
    版權: 2011 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society
    版權: 2012 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society
    識別號: ISSN: 1561-8625
    識別號: EISSN: 1934-6093
    識別號: DOI: 10.1002/asjc.426
    顯示於類別:[電機工程學系] 期刊論文

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