A New Artificial Neural Network - Direct Torque Control for Matrix Converter Fed Three-Phase Induction Motor
This paper presents a new complete artificial neural network (ANN) of direct-torque control (DTC) for the system matrix converter (MC)- induction motor (IM) to decrease the time of calculation of the conventional control system. To avoid the difficult calculation of DTC, 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-DTC for MC-IM