Improved Model Predictive Robust Current Control for Permanent Magnet Synchronous Hub Motor

Abstract

Model predictive control is a model-based method for permanent magnet synchronous hub motors (PMSHM). The inconsistency between the real operating parameters and the motor actual value will reduce the performance of the control method. Therefore, this paper proposes an improved robust model predictive current control (MPCC), which uses an incremental model to remove the effects of flux linkage changes. The cost function includes the previously selected predicted current value and the previously measured value to improve forecasting accuracy and reduce the impact of changes in inductance. Meanwhile, the steady-state performance of model predictive control is improved by synthesizing virtual vectors. Finally, experiments prove the method can improve robustness and have good steady-state performance.