Comparative Study Between Sensorless Vector Control of PMSM Drives based on MRAS, SMO and EKF Observers

The electric motor is the heart of the electric vehicle powertrain system and for many industries drive. wherefore, the improving of control performance is has been widely interesting specially in Permanent Magnet Synchronous Motor (PMSM), It makes us thinking by sensorless control as a replacement of speed sensor control in order to reduce costs and avoid problems caused by faults of the speed/position sensor, This paper deals with a comparative study among three observers strategies based on vector control technique, They are including Model Reference Adaptive System (MRAS) observer, Extended Kalman Filter (EKF) and sliding mode observer (SMO), The main objective is to ensure good performances in case of absence or failure the speed sensor for electric vehicle virtual scenario in precaution case, with the comparation obtained results can verify how the competence for each one in same conditions.