Model Predictive MRAS Speed Estimator for Permanent Magnet Synchronous Machines

This paper presents a predictive model reference adaptive system (MRAS) speed estimator for Permanent Magnet Synchronous Machines. The speed estimator is based on the finite control set model predictive control (FCS-MPC) principle. A search method is utilized to find the best estimated speed at each sampling interval that produces the smallest speed estimation error signal. This method replaces the PI controller which is typically employed by MRAS estimators. The speed estimator has been experimentally tested using a 2.1kW PMSM. Results show improved performance, especially during fast load transients for the novel method compared to the PI-based MRAS method.