Improved Efficiency of a PMSM Drive with Model Predictive Control

Abstract

This paper presents a novel model predictive control method to minimize the loss of a permanent magnet synchronous motor (PMSM). Since not all losses of the PMSM are controllable, the model of the PMSM taking into account the core loss is considered. The total controllable electrical losses including core loss and copper loss can be expressed in the model. Further, the optimal current reference, which minimize these losses, is determined by the loss minimization algorithm. In order to select the suitable voltage vector making current of the PMSM track the reference value, the cost function is designed. Moreover, the performance of the proposed method is validated on a 2.2 $kW$ PMSM drive system under different state. The simulation results show that the losses is reduced with the proposed method.