混合有源电力滤波器的新型电流迭代学习控制

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Abstract The traditional PI-type iterative learning control has some defects such as the convergence of control algorithm depending heavily on initial input of learning control and the parameters of iterative controller being constant value. A new algorithm of PI-type iterative learning control is proposed in this paper for current feedback control of hybrid active power filter, and the convergence condition of applying iterative algorithm in filter system is obtained. An improved Ziegler-Nichols method is used to optimize control parameters of feedback controller for improving current compensation precision. In order to improve the dynamic response performance of filter system, a feed-forward link based D-type learning law of harmonic current error signal as control input is added to feedback controller, which constitutes a feedback-feed-forward control strategy of harmonic current error. A neural network with three-layer based on BP algorithm is applied for optimizing control gain of feed-forward link. Simulation and experimental results confirm the value of the proposed iterative algorithm and control strategy.

Key words： Active power filter iterative learning control Ziegler-Nichols method neural network weight

Received: 01 July 2010 Published: 20 March 2014

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TM48

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	Wu Jingbing
	Luo An
	Ma Fujun
	Peng Shuangjian

Cite this article:

Wu Jingbing,Luo An,Ma Fujun等. A Novel Iterative Learning Control for Current Tracking of Hybrid Active Power Filter[J]. Transactions of China Electrotechnical Society, 2012, 27(8): 133-140.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2012/V27/I8/133

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