Control technology of parallel active filter based on p-q theory and filtering technology of RBF neural network

Wang Zhanshan, Zhao Yongbin, Zhang Enlin, Lun Shuxian
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Abstract

This paper mainly aims at the control strategy of parallel active filter, an analytical method is proposed to make the filtering technology based on RBF neural network combine with p-q theory. The simulation example proves this method is feasible for controlling in parallel active filter. Because of this method is efficient and easily realized, it provides some new approaches to design parallel active filter.
基于p-q理论和RBF神经网络滤波技术的并联有源滤波器控制技术
本文主要针对并联有源滤波器的控制策略,提出了一种将基于RBF神经网络的滤波技术与p-q理论相结合的解析方法。仿真实例证明了该方法对并联有源滤波器的控制是可行的。该方法效率高,易于实现,为并行有源滤波器的设计提供了新的思路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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