A Comparison Research on Sliding Mode Observation Methods for SPMSM in Sensorless Environment of Medium-to-High Speed

Aiming at sensorless control system of surface attached permanent magnet synchronous motor (SPMSP), three observation algorithms proposed in recent years to estimate rotor position and speed under medium-high operation were introduced this paper. The working principles, advantages disadvantages these such as the Extended Kalman filter algorithm (EKF), Model Reference Adaptive System (MRAS) Sliding Mode Observer (SMO) compared, applicability on SPMSP present was compared summarized. Furthermore, a strategy based improved SMO designed ensure effect SPMSM.