Title :
An EKF based reduced order estimator for the sensorless control of IMs
Author :
Barut, M. ; Bogosyan, O.S. ; Gokasan, M.
Author_Institution :
Fac. of Electr. & Electron. Eng., Istanbul Tech. Univ., Turkey
Abstract :
In this paper a reduce-order extended Kalman filter (EKF) algorithm is developed for the rotor flux oriented sensorless vector control of induction motors (IMs). The algorithm using measured stator currents involves the estimation of the rotor resistance, rotor flux, angular velocity and load torque. Simulation results show that the proposed method has a good performance to that of the similar full order estimator, while achieving a significant reduction in computation complexity and time.
Keywords :
Kalman filters; angular velocity; computational complexity; induction motors; reduced order systems; rotors; stators; torque control; EKF algorithm; angular velocity; computational complexity; extended Kalman filter; induction motors; load torque; reduced order estimator; rotor flux; rotor resistance; sensorless control; Angular velocity; Current measurement; Electrical resistance measurement; Induction motors; Machine vector control; Rotors; Sensorless control; Stators; Torque measurement; Velocity measurement;
Conference_Titel :
Control Applications, 2003. CCA 2003. Proceedings of 2003 IEEE Conference on
Print_ISBN :
0-7803-7729-X
DOI :
10.1109/CCA.2003.1223191
