Indirect Matrix Converter Controlled with ANFIS-based Modulation

A matrix converter is a one level converter; it converts from AC input to AC output without an intermediate circuit capacitor. An indirect matrix converter has more advantages and performs better with space vector modulation (SVM) techniques. This article proposed an ANFIS-based SVM technique for the rectifier stage of an Indirect Matrix Converter. The data used to train the ANFIS-based SVM is generated from the traditional SVM. The training methods used for training are the combination of backpropagation and least squares methods. The angle and delay angle are inputs to the proposed scheme and outputs are switching times. Because of this technique; The converter output voltage is improved and THD (Total Harmonic Distortion) of voltage and currents are reduced compared to the traditional SVM. The performance of the converter with ANFIS-based SVM is compared with conventional and the changed SVM by using MATLAB/Simulink © 2022 School of Science, IHU. All rights reserved.