Title :
An extended Kalman filter based sensorless direct vector control of induction motors
Author :
Barut, M. ; Gokasan, M. ; Bogosyan, O.S.
Author_Institution :
Dept. of Electr. & Electron. Eng., Istanbul Tech. Univ., Turkey
Abstract :
In this study, it is aimed to design a rotor-oriented sensorless direct vector control for the speed control of an induction motor (IM). For this purpose, all the states required for direct vector control in addition to the step-shaped load torque and rotor resistance are estimated using extended Kalman Filter (EKF). Simulation results demonstrate a good performance and robustness to variations of load and rotor resistance.
Keywords :
Kalman filters; control system synthesis; induction motors; machine vector control; nonlinear filters; robust control; state estimation; velocity control; extended Kalman filter; induction motors; robustness; rotor resistance; sensorless direct vector control; speed control; step shaped load torque; Angular velocity; Induction motors; Machine vector control; Observers; Rotors; Sensorless control; State estimation; Stators; Torque control; Velocity control;
Conference_Titel :
Industrial Electronics Society, 2003. IECON '03. The 29th Annual Conference of the IEEE
Print_ISBN :
0-7803-7906-3
DOI :
10.1109/IECON.2003.1279999
