Systematic fuzzy sliding mode approach combined with extended Kalman filter for permanent magnet synchronous motor control

Fateh Benchabane (1) , Abdenacer Titaouine (1) , Ouafae Bennis (2) , Yahia Khaled (1) , Taibi Djamel (1)

1 LMSE - Laboratoire de Modélisation des Systèmes Energétiques
2 PRISME - Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique

This paper proposes a new state observer based on an extended Kalman filter (EKF) for the sensorless systematic fuzzy sliding mode control of permanent magnet synchronous motors (PMSM). The observer can obtain a precise estimation of rotor speed and position. Load torque is also observed and used as the feed-forward compensation to improve the system performance during load torque changes. In this system, the initial rotor position is not necessary for the start up.

Mots clés: permanent magnet synchronous motor; extended Kalman filter; sensorless control; load torque observation; initial position; fuzzy; systematic sliding mode

Domaines: Automatique; Automatique / Robotique

Fateh Benchabane, Abdenacer Titaouine, Ouafae Bennis, Yahia Khaled, Taibi Djamel. Systematic fuzzy sliding mode approach combined with extended Kalman filter for permanent magnet synchronous motor control. Mediterranean Journal of Measurement and Control, 2011, 7 (1), pp.183-189. ⟨hal-00614837⟩