Finite-Control-Set Model Predictive Current Control for Permanent Magnet Synchronous Motor Based on Dynamic Cost Function Using Fuzzy Method

This paper proposes a finite-control-set model predictive current control for permanent magnet synchronous motor (PMSM) based on dynamic cost function using fuzzy method. The performance of current control is analyzed in different weighting factors of dq current and switching times in cost function. The current item in cost function was not optimized in traditional finite- control-set model predictive current control. Thus, the deviation of speed and its rate of change are used for adjusting weighting factors in cost function dynamically through fuzzy method. The domain of fuzzy control and its reasoning rule are built. The proposed method can improve the response of current, and optimize the switching frequency at the same time. The constraint between dynamic response and stability margin is improved. Both simulation and experiment verify the proposed method.