An Improved Adaptive Current Detection System Based on Internal Model Theory
Tong Li1, Zou Xudong1, Zhang Yun2, Kang Yong1
1. State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology 430074 China 2. Hunan Electric Power Test and Research Institute Changsha 410007 China
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.
童力, 邹旭东, 张允, 康勇. 基于内模原理的自适应电流检测系统研究[J]. 电工技术学报, 2011, 26(9): 208-216.
Tong Li, Zou Xudong, Zhang Yun, Kang Yong. An Improved Adaptive Current Detection System Based on Internal Model Theory. Transactions of China Electrotechnical Society, 2011, 26(9): 208-216.
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2011, Vol. 26 
