Recursive identification of induction motor parameters

Simulation Modelling Practice and Theory

Volumn 12, Issue 5, 2004, Pages 363-381

  Koubaa, Yassine ^a  

^a UNIVERSITY OF SFAX   (Tunisia)

Author keywords

Induction motor; Least squares techniques; Linear parameter estimation

Indexed keywords

COMPUTER SIMULATION; ELECTRIC POTENTIAL; INDUSTRIAL APPLICATIONS; LEAKAGE (FLUID); MATHEMATICAL MODELS; PARAMETER ESTIMATION; STATORS;

LEAST SQUARE TECHNIQUES; LINEAR PARAMETER ESTIMATION;

INDUCTION MOTORS;

EID: 3242712100     PISSN: 1569190X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.simpat.2004.04.003     Document Type: Article

References (34)

1. Atkinson D.J., et al. Observers for induction motor state and parameter estimation. IEEE Trans. Ind. Appl. 27(6):1991;1119-1127.
2. Atkinson D.J., et al. Estimation of rotor resistance in induction motors. Proc. IEE - Elect Power Appl. 143(1):1996;87-94.
3. F. Barret, Régimes transitoires des machines tournantes électrique, Collection des études et Recherches d'électricité de France, Edition Eyrolls, Paris, 1982.
4. de Carli B.A., Cava M.L. Parameter identification for induction motor simulation. Automatica. 12(4):1976;383-386.
5. Bimal K.B., Nitin R.P. Quasi-fuzzy estimation of stator resistance of induction machines. IEEE Trans. Power Electron. 13(3):1998;401-409.
6. Bose B.K. Power Electronics and AC Drives. 1986;Prentice-Hall, New Jersey.
7. Boussak M., Capolino G.A. Recursive least-squares rotor time constant identification for vector-controlled induction machine. Elect. Mach. Power Syst. 20(2):1992;137-147.
8. Cabrera L.A., et al. Tuning the stator resistance of induction motors using artificial neural network. IEEE Trans. Power Electron. 12(5):1997;779-787.
9. Cirrincione M., et al. A new experimental application of least-squares techniques for the estimation of the induction motor parameters. IEEE Trans. Ind. Appl. 39(5):2003;1247-1256.
10. Demerdash N.A.O., Bangura J.F., et al. Characterization of induction motors in adjustable-speed drives using a time-stepping coupled finite-element state-space method including experimental validation. IEEE Trans. Ind. Appl. 35(4):1999;790-802.
11. Epaminondas D.M., et al. A new stator resistance tuning method for stator-flux oriented vector controlled induction motor drive. IEEE Trans. Ind. Electron. 48(6):2001;1148-1157.
12. A. García-Cerrada, J.L. Zamora, On-line rotor-resistance estimation for induction motors, in: Proc. EPE'97, Trondheim, Norway, vol. 1, September 1997, pp. 542-547.
13. R.J.A. Gorter et al., Simultaneous estimation of induction machine parameters and velocity, in: Conf. Rec. PESC, June 1995, Atlanta, GA, pp. 1295-1301.
14. Grewal M.S., Andrews A.P. Kalman Filtering-Theory and Practice. 1993;Prentice-Hall, New Jersey.
15. Ha J., Sang H.L. An on-line identification method for both stator and rotor resistances of induction motors without rotational transducers. IEEE Trans. Ind. Electron. 47(4):2000;842-853.
16. Holtz J., Thimm T. Identification of the machine parameters in a vector-controlled induction motor drive. IEEE Trans. Ind. Appl. 27:1991;1111-1118.
17. Jeon S.H., et al. Flux observer with online tuning of stator and rotor resistances for induction motors. IEEE Trans. Ind. Electron. 49(3):2002;653-664.
18. Y. Koubaa, Parametric identification of induction motor with H - G diagram, in: International Conference on Electrical Drives and Power Electronics, October 3-5, 2001, the High Tatras, Slovak Republic, pp. 433-437.
19. Y. Koubaa, Induction machine drive parameters estimation, in: CD-ROM of the IEEE International Conference on Systems, Man and Cybernetics (SMC'02), October 6-9, 2002, Hammamet, Tunisia.
20. Y. Koubaa, M. Boussak, Adaptive rotor resistance identification for indirect stator flux oriented induction motor drive, in: CD-ROM of the Second International Conference on Signals, Systems Decision and Information Technology (SSD'03), March 26-28, 2003, Sousse, Tunisia.
21. Ljung L. System Identification: Theory for the User. 1980;MIT Press, Cambridge, MA.
22. Moon S.I., Keyhani A. Estimation of induction machine parameters from standstill time-domain data. IEEE Trans. Ind. Appl. 30:1994;1609-1615.
23. Novotny D.W., Lipo T.A. Vector Control and Dynamics of AC Drives. 1996;Clarendon, New York.
24. Razzouk A.B., et al. Implementation of a DSP based real-time estimator of induction motors rotor time constant. IEEE Trans. Power Electron. 17(4):2002;534-542.
25. Ribeiro L., et al. Linear parameter estimation for induction machines considering the operating conditions. IEEE Trans. Power Electron. 14(1):1999;62-73.
26. L.A.S. Ribeiro et al., Dynamic estimation of the induction machine parameters and speed, in: Conf. Rec. PESC, June 1995, pp. 1281-1287.
27. Tajima H., et al. Consideration about problems and solutions of speed estimation method and parameter tuning for speed-sensorless vector control of induction motor drives. IEEE Trans. Ind. Appl. 38:2002;1282-1289.
28. Stephan J., et al. Real-time estimation of the parameters and fluxes of induction motors. IEEE Trans. Ind. Appl. 30:1994;746-759.
29. M. Velez-Reyes et al., Recursive speed and parameter estimation for induction machines, in: Conf. Rec. IAS, 1989, pp. 607-611.
30. Wildi T. Electrical Machines, Drives and Power System. 2002;Prentice-Hall, New Jersey.
31. Williamson S., et al. Finite element models for cage induction motors analysis. IEEE Trans. Ind. Appl. 26(6):1990;1007-10017.
32. Xing Y., et al. A novel rotor resistance identification method for an indirect rotor flux- oriented controlled induction machine system. IEEE Trans. Power Electron. 17(3):2002;353-364.
33. Yamamura S. AC Motors for High-Performance Applications. 1986;Dekker, New York.
34. Zai L.C., et al. An extended Kalman filter approach to rotor time constant measurement in PWM induction motor drives. IEEE Trans. Ind. Appl. 28:1992;96-104.