Model Predictive Control for Doubly Salient Permanent Machine Based Two-Level Inverter

Doubly salient permanent machine (DSPM) was developed more than 10 years, however, most papers still focus on the motor itself, i.e. optimization of electromagnetic design.. For some applications which require high dynamic response, such as electric vehicle, servo system, etc, conventional control strategy may not meet the requirements. In that case, developing high performance control is very necessary. The model predictive control (MPC) depend on the model parameters of control systems has achieved good control performance in power electronic devices and drive systems recently. In order to improve the operating performance of doubly salient permanent machine (DSPM), the MPC is applied for DSPM in this paper. Finally, the simulation results validate the effectiveness of the proposed schemes in this paper.