DocumentCode :
50602
Title :
Research on Robust Performance of Speed-Sensorless Vector Control for the Induction Motor Using an Interfacing Multiple-Model Extended Kalman Filter
Author :
Zhong-gang Yin ; Chang Zhao ; Yan-ru Zhong ; Jing Liu
Author_Institution :
Xi´an Univ. of Technol., Xi´an, China
Volume :
29
Issue :
6
fYear :
2014
fDate :
Jun-14
Firstpage :
3011
Lastpage :
3019
Abstract :
The interfacing multiple-model extended Kalman filter (IMM-EKF) is proposed here as a modification of the extended Kalman filter (EKF). In this algorithm, two multiple-model EKF groups are built, one group is the optimum model, and the other is the noise model. Each model group is created by multiple models, and it will get good performance at stable state and robust ability when disturbance occurred. The algorithm gets the estimation value by mixing the outputs of the different model in different weightings, and the calculation of weightings is researched. Whether the IMM-EKF can give better estimation performances and robust ability than the EKF for speed estimation of induction machines is explored in this paper. Via simulations and experiments, estimated error and the change of flux linkage by disturbance based on the IMM-EKF and EKF is compared. The simulation results show that the IMM-EKF has the better estimation performance of antigross error than the EKF.
Keywords :
Kalman filters; angular velocity control; induction motors; machine vector control; nonlinear filters; sensorless machine control; EKF modification; IMM-EKF; antigross error; estimation value; flux linkage; induction machines; induction motor; interfacing multiple-model extended Kalman filter; multiple-model EKF groups; noise model; optimum model; robust ability; robust performance; speed estimation; speed-sensorless vector control; state stability; weighting calculation; Induction motors; Kalman filters; Noise; Observers; Rotors; Stators; Extended Kalman filter (EKF); induction motor; interfacing multiple-model (IMM); speed estimation; vector control;
fLanguage :
English
Journal_Title :
Power Electronics, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8993
Type :
jour
DOI :
10.1109/TPEL.2013.2272091
Filename :
6564414
Link To Document :
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