Wavelet Fuzzy Neural Network Super-Twisting Control

In this paper, a wavelet fuzzy neural network control using a super-twisted sliding mode controller (WFNNCSTSMC) is proposed to realize the harmonic suppression of an active power filter (APF). This controller combines the advantages of a super-twisted sliding mode controller (STSMC) and a wavelet fuzzy neural network (WFNN) controller. The proposed STSMC can approach the output of the harmonic detection circuit in the system within a finite time. In order to reduce the sliding mode gains and chattering, the WFNN controller is used to approximate the equivalent control item in the system. Experimental study demonstrates the superiority of the proposed controller in the current control and harmonic processing regardless of nonlinear loads and parameter uncertainties.