A moving horizon estimator for the speed and rotor position of a sensorless PMSM drive

In this paper a systematic model based approach to state estimation for Permanent Magnet Synchronous Motor (PMSM) to built up sensorless drives is presented. A moving horizon estimation (MHE) algorithm is used, an optimization based scheme that yields excellent performance. Under mild assumptions, an optimal problem of type Equality Constrained Quadratic Programming (EQP) is resolved at each iteration. Simulation results indicate superior performance of MHE over established methods such as Extended Kalman Filter (EKF). Real-time feasibility of the proposed approach up to 10 kHz sampling rate is demonstrated by experiments.