A new artificial neural network controller for direct control method for matrix converters
This work presents a new artificial neural network (ANN) Controller for implementing the Direct control method (DCM) for Matrix converters (MC) to decrease the time of calculation of the conventional DSP control system. To avoid the difficult calculation of ANN-DCM, the design uses the individual training strategy with the fixed weight and the supervised models. A computer simulation program is developed using Matlab/Simulink together with the Neural Network Toolbox. The simulated results demonstrate the good quality and the robustness of the proposed ANN-DCM-Controller for MC.