Unscented Kalman filter Sensorless Permament Magnet Synchronous Motor Model Predictive Control

Abstract

The paper deals with the Model Predictive Control (MPC) algorithm as applied to the 1 sensorless control of a Permanent Magnet Synchronous Motor (PMSM). The proposed estimation 2 strategy, based on the unscented Kalman filter (UKF), uses only the measurement of the motor current 3 for the online estimation of speed, rotor position and load torque. Information about the system 4 state feeds the MPC. Results verify the effectiveness and applicability of the proposed sensorless 5 control technique. An implementation in low speed direct drive astronomy telescope mount systems 6 is investigated.