State estimation of induction motor using unscented Kalman filter

IEEE Conference on Control Applications - Proceedings

Volumn 2, Issue , 2003, Pages 915-919

  Akin, Bilal ^a   Orguner, Umut ^a   Ersak, Aydin ^a  

^a MIDDLE EAST TECHNICAL UNIVERSITY   (Turkey)

Author keywords

EKF; Induction motor; Sensorless vector control; Speed estimation; State observer; UKF

Indexed keywords

COMPUTER SIMULATION; INDUCTION MOTORS; KALMAN FILTERING; OBSERVABILITY; SPEED CONTROL;

SENSORLESS VECTOR CONTROL; SPEED ESTIMATION; STATE OBSERVER; UNSCENTED KALMAN FILTER;

STATE ESTIMATION;

EID: 0345358443     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. F.Z.Peng, and T.Fukao, "Robust speed identification for speed sensorless vector control of induction motors," IEEE Trans. Industry Applications, vol. 30, no. 5, pp.1234-1239, Oct. 1994.
2. C. Schauder, "Adaptive speed identification for vector control of induction motor without rotational transducers," IEEE Trans. Industry Applications, vol. 28, no. 5, pp. 1054-1061, Oct. 1992.
3. H. Tajima, and Y. Hori, "Speed sensorless field orientation control of the induction machine," IEEE Trans. Industry Applications, vol. 29, no. 1, pp. 175-180, Feb. 1993.
4. H.W.Kim and S.K.Sul, "A new motor speed estimator using Kalman filter in low speed range," IEEE Tran. Industrial Electronics, vol. 43, no. 4, pp. 498-504, Aug. 1996.
5. Y.R.Kim, S.K.Sul, and M.H.Park, "Speed sensorless vector Control of induction motor using extended Kalman filter," IEEE Trans. Industry Applications, vol. 30, no.5 pp.1125-1233, Oct. 1994.
6. S.W.Matthew, W.Dunnigan, and W.Williams, "Modeling and simulation of induction machine vector control with rotor resistance identification," IEEE Trans. Power Electronics, vol.12, no. 13, pp. 495-506, May 1997.
7. D.Atkinson, P.Acarnley, and J.W.Finch, "Observers for induction motor state and parameter estimation," IEEE Trans. Industry Applications, vol.27, no. 6, pp. 1119-1127, Dec. 1991.
8. L.C.Zai, C.L.DeMacro, and T.A.Lipo, "An extended Kalman filter approach to rotor time-constant measurement in PWM induction motor drives," IEEE Trans. Industry Applications, vol. 28, no. 1, pp. 96-104, Jan/Feb 1992.
9. L.Salvatore, S.Stassi and L.Tarchioni, "A new EKF based algorithm for flux estimation in induction machines," IEEE Trans. Industrial Electronics, vol. 40, no. 5, pp. 496-504, Oct. 1993.
10. A.Gelb (Editor), Applied Optimal Estimation, MA: MIT Press, 1974.
11. F.L.Lewis, Optimal Estimation, NY: John Wiley & Sons, 1986.
12. A.H.Jazwinski, Stochastic Processes and Filtering Theory, NY: Academic, 1970.
13. J.Julier and J.K.Uhlmann, "A new extension of the Kalman filter to non linear systems," Available: http://www.robots.ox.ac.uk.
14. S.Julier, J.K.Uhlmann, and H.F.Durrant-Whyte, "A new method for the nonlinear transformation of means and covariances in filters and estimators," IEEE Trans. Automatic Control, vol.45, pp. 477-482, March 2000.
15. S.Julier, J.K.Uhlmann, and H.F.Durrant-Whyte, "A new approach for filtering nonlinear systems," Available: http://www.robots.ox.ac.uk.