2014
DOI: 10.1109/iccas.2014.6988033
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Yunmei Fang, Zhe Wang, Juntao Fei

Abstract: In this paper, a radial basis function (R BF) neural network adaptive sliding mode control system based on feedback linearization approach is developed for the current compensation of three-phase active power filter(APF). RBF neural network is used to approximate the switch function of IGBT in APF combined with feedback linearization approach. The weights of RBF neural network are adjusted by means of adaptive method and the stability of the system can be guaranteed. With this method, the harmonic current of …

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