Intelligent control of doubly-fed induction generator systems using PIDNNs

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Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/107572

Title:	Intelligent control of doubly-fed induction generator systems using PIDNNs
Authors:	林法正;Lin, Faa-Jeng;Hwang, Jonq-Chin;Tan, Kuang-Hsiung;Lu, Zong-Han;Chang, Yung-Ruei
Contributors:	資訊電機學院電機工程學系
Keywords:	Doubly-fed induction generator;field-oriented control;proportional-integral-derivative neural network
Date:	2012-05-01
Issue Date:	2026-04-23 14:17:47 (UTC+8)
Publisher:	Wiley-Blackwell;Chichester, UK: John Wiley & Sons, Ltd
Abstract:	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
Appears in Collections:	[Department of Electrical Engineering] journal & Dissertation

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