基于内模原理的自适应电流检测系统研究

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Abstract Conventional adaptive current detection methods are always terribly disturbed by the “mutual erroneous impacts”, which are due to the low SNR (signal-to-noise ratio) utility conditions, so it is difficult to make an optimal tradeoff between the speed and accuracy of those adaptive methods. This paper proposes a novel adaptive current detection method, where a sliding integration filter (SIF) is applied to eliminate the disturbances from harmonic current components and to derive the real amplitude estimation errors of fundamental active and reactive current components. Then, adaptive detection closed-loop systems are constructed based on the internal model theory so as to extract the target current components from the distorted load current rapidly and accurately. The mathematical model of the proposed adaptive method is presented, and its performances such as convergence, dynamic and steady-state responses are also illustrated by analytic methods of control theory so that theoretical instructions could be provided for designing the adaptive current detection method. Finally, simulation and experimental results of this novel detection method and previous methods are compared, which verify the correctness and effectiveness of the proposed theory and method.

Key words： Adaptive current detection mutual erroneous impact sliding integration filter internal model theory

Received: 30 September 2010 Published: 07 March 2014

PACS:

TM712

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	Articles by authors
	Tong Li
	Zou Xudong
	Zhang Yun
	Kang Yong

Cite this article:

Tong Li,Zou Xudong,Zhang Yun等. An Improved Adaptive Current Detection System Based on Internal Model Theory[J]. Transactions of China Electrotechnical Society, 2011, 26(9): 208-216.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2011/V26/I9/208

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