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

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.