Sensorless Based Model Predictive Current Control with PM Flux-linkage Immunity for Permanent Magnet Synchronous Machines

Finite control set model predictive current control is a high control performance strategy for permanent magnet synchronous machines due to its fast dynamic and simple implementation. However, it requires accurate machine parameters for the current prediction, any parameter mismatch will cause a current prediction error resulting in deteriorated control performance. Particularly, PM flux-linkage is commonly required by the prediction model and mismatch in PM flux-linkage will cause current prediction error. This paper proposed a finite control set model predictive current control with PM flux-linkage immunity based on back-EMF sensorless control. For the sensorless control based system, the back-EMF is well estimated and regulated by the sensorless algorithm, which can be directly used in the prediction model. Thus, the knowledge of PM flux-linkage is not required in the prediction model. The proposed method is verified by experiments and compared to the conventional method in terms of steady- and dynamic-state control performance.