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

Author

Benchabane, F. ; Titaouine, A. ; Bennis, O. ; Yahia, K. ; Taibi, D.

Author_Institution

MSE Lab., Univ. of Biskra, Biskra, Algeria

fYear

2010

fDate

10-13 Oct. 2010

Firstpage

2169

Lastpage

2174

Abstract

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.

Keywords

Kalman filters; feedforward; fuzzy control; observers; permanent magnet motors; sensorless machine control; synchronous motors; variable structure systems; extented Kalman filter; feedforward compensation; load torque; permanent magnet synchronous motor control; rotor speed; sensorless systematic fuzzy sliding mode control; state observer; systematic fuzzy sliding mode approach; Niobium; extended Kalman filter; fuzzy; initial position; load torque observation; permanent magnet synchronous motor; sensorless control; systematic sliding mode;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on

Conference_Location

Istanbul

ISSN

1062-922X

Print_ISBN

978-1-4244-6586-6

Type

conf

DOI

10.1109/ICSMC.2010.5641677

Filename

5641677