Predictive indirect matrix converter fed torque ripple minimization with weighting factor optimization

Predictive control is a powerful and promising control algorithm in the control of power converter and electrical machine drive's system. The system performance depends on the selection of weighting factor in the cost function. Therefore, this paper proposed a weighting factor optimization method to reduce the torque ripple of induction motor fed by an indirect matrix converter. Also, predictive torque and flux control with conventional weighting factor is being investigated in this paper and is compared with the proposed optimum weighting factor based predictive control algorithm. The introduced weighting factor optimization method in predictive control algorithm is validated through simulation and shows potential tracking of variables and control with their corresponding references and consequently minimizes the torque ripple compare to the conventional weighting factor based predictive control method.