Title :
Research on Anti-Error Performance of Speed and Flux Estimator for Induction Motor Using Robust Reduced-Order EKF
Author :
Zhonggang Yin ; Chang Zhao ; Jing Liu ; Yanru Zhong
Abstract :
A novel speed and flux estimator of induction motor based on robust reduced-order extended Kalman filter (RROEKF) is proposed in this paper, and the effect of gross error on estimation accuracy of reduced-order EKF (ROEKF) was analyzed. Whether RROEKF can give better estimation performance and robust ability than ROEKF for speed and flux estimation of induction machines is explored. The speed estimated error and the flux fluctuation of RROEKF by gross external disturbance and internal estimated error is compared with ROEKF. The simulation and experimental results show that RROEKF has the better estimation performance of anti-gross error than ROEKF and EKF.
Keywords :
Kalman filters; estimation theory; induction motors; nonlinear filters; power filters; RROEKF flux fluctuation; flux estimator; gross error; gross external disturbance; induction machines; induction motor; robust reduced-order EKF; robust reduced-order extended Kalman filter; speed antierror performance; speed estimated error; Covariance matrix; Estimation; Induction motors; Noise; Robustness; Stators; Vectors; Induction motor; robust reduced-order extended Kalman filter (RROEKF); speed estimation; vector control;
Journal_Title :
Industrial Informatics, IEEE Transactions on
DOI :
10.1109/TII.2012.2222422
