Dual Objective Model Predictive Current Control Method for PMSM Drives

Abstract

Model predictive current control (MPCC) is recognized as a promising control method for permanent magnet synchronous motor (PMSM) drives. In conventional MPCC, only current tracking is considered while the switching transition term is neglected, which can reduce system efficiency and overall control performance. To balance the influence of current error and switching transition term, a dual objective MPCC (DOMPCC) method is put forward in this brief. First, the conventional MPCC method is introduced and the limitations are formulated. Then, the proposed method is presented where a new cost function including switching transition term is designed. In addition, the design process for the balance factor and weighting coefficient is developed, and the stability analysis is provided. Finally, comparative studies are conducted on a 1.25 kW experimental platform to demonstrate the effectiveness of the proposed DOMPCC method.