Title :
Speed sensorless vector control of induction motor based on robust extended Kalman filter
Author :
Zhonggang, Yin ; Chang, Zhao ; Yanru, Zhong ; Lidong, Li
Author_Institution :
Dept. of Electr. Eng., Xi´´an Univ. of Technol., Xi´´an, China
Abstract :
A novel speed sensorless vector control of induction motor based on robust extended Kalman filter(REKF) is proposed in this paper. Whether REKF can give better estimation performance and robust ability than EKF for speed and flux estimation of induction machines is explored. The speed estimated error and the flux fluctuation of REKF by gross external disturbance and internal estimated error is compared with EKF. The simulation results show that REKF has the better estimation performance of anti-gross error than EKF.
Keywords :
Kalman filters; estimation theory; induction motors; nonlinear filters; sensorless machine control; velocity control; REKF; estimation performance; flux estimation; flux fluctuation; gross external disturbance; induction motor; internal estimated error; robust ability; robust extended Kalman filter; speed estimation; speed sensorless vector control; Couplings; Estimation; Induction motors; Kalman filters; Machine vector control; Robustness; Rotors; Induction Motor; Robust Extended Kalman Filter; Speed Estimated; Vector Control;
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6243074
