Estimation of induction motor parameters: an overview


D. K. Chaturvedi
Mayank Pratap Singh
Md. Sharif Iqbal
Vikas Pratap Singh


The parameters of induction motor depends on various factors such as: machine internal state, machine ageing, magnetic saturation, operating conditions, the coupling effect between the internal system and external system. The paper deals with an overview of parameter estimation of three phase induction motor using different soft computing techniques. The soft computing techniques which are considered in the paper are fuzzy system, artificial neural network (ANN), Neuro-Fuzzy, genetic algorithms (GA) and particle swarm optimization (PSO). It is observed that the estimated parameter using soft computing techniques were much closer to actual value.


How to Cite
Chaturvedi, D. K., Pratap Singh, M., Sharif Iqbal, M., & Pratap Singh, V. (2014). Estimation of induction motor parameters: an overview. Power Research - A Journal of CPRI, 755–764. Retrieved from


  1. J Holtz and J Quan., “Sensorless vector control of induction motors at very low speed using a nonlinear inverter model and parameter identification”, Proc. IEEE-IAS Annu. Meeting 2001, pp. 2614–2621.
  2. L A S de Ribeiro, C B Jacobina, A M N Lima, and A C Oliveira, “Parameter sensitivity of MRAC models employed in ifo controlled ac motor drive”, IEEE Trans. Ind. Electron.,1997,Vol. 44, pp. 536–545.
  3. F Ponci, L Cristaldi, M Faifer, and M Lazzaroni, “Innovative approach to early fault detection for induction motors”, 2007, Proc. IEEE Sdemped, pp. 283–288.
  4. M Benbouzid, “A review of induction motors signature analysis as a medium for faults detection”, IEEE Trans. Ind. Electron., 2000, Vol. 47, no. 5, pp. 984–993, Oct.
  5. P M de la Barrera, G R Bossio, G O Garcia, and J. A. Solsona, “Stator core fault diagnosis for induction motors based on parameters adaptation”, Proc. IEEE SDEMPED, 2009, pp. 1–6.
  6. M Vélez-Reyes, K Minami, and G C Verghese., “Recursive speed and parameter estimation for induction machines”, Proc. IEEE-IAS Annu.Meeting,1989, pp. 607– 611.
  7. J Stephan, M Bodson, and J Chiasson, “Real-time estimation of the parameters and fluxes of induction motors”, IEEE Trans. Ind. Applicat., 1994, Vol. 30, pp. 746–759.
  8. B K Bose, M G Simoes, D Crecelius, K Rajashekara, and R Martin, “Speed sensorless hybrid vector controlled induction motor drive”, Proc. IEEE-IAS Annu. Meeting, 1995, pp. 137–143.
  9. M L Cava, C Picardi, and F Ranieri., “Application of the extended Kalman filter to parameter and state estimation of induction motors”, Int. J. Model. Simul.,1989,Vol. 9, no. 3, pp. 85–89.
  10. D J Atkinson, P Acarney, and J Finch, “Observers for induction motor state and parameter estimation”, IEEE Trans. Ind. Appl.,1991,Vol. 27, no. 6, pp. 1119–1127.
  11. S Wade, M Dunnigan, and B Williams, “A new method of rotor resistance estimation for vector-controlled induction machines”, IEEETrans. Ind. Electron.,1997,Vol. 44, no. 2, pp. 247–257.
  12. ELevi, “Impact of iron loss on behaviour of vector controlled induction machines”, IEEE Trans. Ind. Applicat., 1995, Vol. 31, pp. 1287–1296.
  13. M Globevnik, “Induction motor parameters measurement at standstill”, 1998, Proc. IEEE Ind. Electron. Soc. Annu. Meeting, pp. 280–285.
  14. M Ruff and H Grotstollen, “Identification of the saturated mutual inductance of an asynchronous motor at standstill by recursive least squares algorithm”, Proc. Europe. Conf. Power Electron. Applicat., 1993, Vol. 5, pp. 103–108.
  15. S I Moon and A Keyhani, “Estimation of induction machine parameters from standstill time-domain data”, IEEE Trans. Ind. Applicat., 1994, Vol. 30, pp. 1606– 1615.
  16. A Consoli, L Fortuna and A Gallo, “Induction motor identification by a microcomputer-based structure”, IEEE Trans. Ind. Electron,1987,Vol. IE-34, pp. 422–428.
  17. A Bünte and H Grotstollen, “Off line parameter identification of an inverter-fed induction motor at standstill”, BRIGHTON (ENE) Proc. Europe. Conf. Power Electron. Applicat.,1995, pp. 3.492–3.496.
  18. WH Kwon, C H Lee, K S Youn, and G H Cho, “Measurement of rotor time constant taking into account magnetizing flux in the induction motor”, Proc. IEEE Ind. Applicat. Soc. Annu. Meeting,1994, pp. 88–92.
  19. D E Borgard, G Olsson, and R D Lorenz “Accuracy issues for parameter estimation of field oriented induction machine drives”, IEEE Trans.Ind. Applicat., 1995,Vol. 31, pp. 795–801.
  20. M Bertoluzzo, G S Buja., and R Menis, “Inverter voltage drop-free recursive leastsquares parameter identification of a PWM inverter-fed induction motor at standstill”, in Proc. IEEE Int. Symp. Ind. Electron., 1997, pp. 649–654.
  21. T Matsuo and T A Lipo, “A rotor parameter identification scheme for vector controlled induction motor drives”, IEEE Trans. Ind. Applicat., 1985, Vol. IA-21, pp. 624–632.
  22. L Loronand G Laliberté., “Application of the extended Kalman filter to parameters estimation of induction motors”, Proc. Europe. Conf. Power Electron. Applicat., 1993, Vol. 5, pp. 85–90.
  23. C Zai, C Marcoand T Lipo, “An extended Kalman filter approach to rotor time constant measurement in PWM induction motor drives”, IEEE Trans. Ind. Appl., 1992, Vol. 28, no. 6, pp. 96–104.
  24. J W Finch, D J Atkinson, and P P Acarnley, “Full-order estimator for induction motor states and parameters”, Proc. Inst. Elect. Eng. Elect. Power Applicat., 1998, Vol. 145, no. 3, pp. 169–179.
  25. T Kataoka, S Toda, and Y Sato, “On-line estimation of induction motor parameters by extended Kalman filter”, Proc. Europe. Conf. Power Electron. Applicat., 1993, Vol. 4, pp. 325–329.
  26. R Krishnan and P Pillay, “Sensitivity analysis and comparison of parameter compensation schemes in vector controlled induction motor drives”, Proc. IEEE Ind. Applicat. Soc. Annu. Meeting,1986, pp. 155–161.
  27. H Toliyat, M S Arefeen, K M Rahman, and M Ehsani, “Rotor time constant updating scheme for a rotor flux oriented induction motor drive”, IEEE Trans. Power Electron., 1999,Vol. 14, pp. 850–857,
  28. E Akin, H B Ertan, and M Y Uctug, “A method for stator resistance measurement suitable for vector control”, Proc. IEEE Ind. Electron.Soc. Annu. Meeting,1994, pp. 2122-–2126.
  29. L Umanand and S Bhat, “Online estimation of stator resistance of an induction motor for speed control applications”, IEE Proc. Electr. Power Appl., 1995,Vol. 142, pp. 97– 103, Mar.
  30. Koubaa Yassine.,"Recursive identification of induction motor parameters", Simulation Modelling Practice and Theory 12, pp. 363– 381.
  31. R Kumar Saravana, K Kumar Vinoth, K KRay., "Fuzzy Logic based fault detection in induction machines using Lab view", IJCSNS International Journal of Computer Science and Network Security, 2009, Vol. 9 No. 9.
  32. H A Toliyat, E Levi, and M Raina, “A review of RFO induction motor parameter estimation techniques”, IEEE Trans. Energy Convers., 2003, Vol. 18, no. 2, pp. 271–283, Jun.
  33. F Loser and P Sattler, “Identification and compensation of the rotor temperature of AC drives by an observer”, Conf. Rec. IEEE IAS Annu. Meeting,1984, pp. 532–537.
  34. S G Tzafestas and K C Zikidis, “Neuro FAST: On-line neuro-fuzzy ART-based structure and parameter learning TSK model”, IEEE Trans.Syst., Man Cybern. B, 2001, Vol. 31, pp. 797–802.
  35. M N Uddin, T S Radwan, and M A Rahman, “Performances of fuzzy-logic-based indirect vector control for induction motor drive”, IEEE Trans. Ind. Appl,2002,Vol. 38, no. 5, pp. 1219–1225.
  36. M N Uddin, M A Abido, and M A Rahman, “Development and implementation of a hybrid intelligent controller for interior permanent magnet synchronous motor drive”, IEEE Trans. Ind. Appl., Vol. 40, no.1, pp. 68–76.
  37. A Consoli, E Cerruto, A Raciti, and A Testa, “Adaptive vector control of induction motor drives based on a neuro-fuzzy approach”, Proc. IEEE PESC, 2004, pp. 225–232.
  38. Treetrong Juggrapong, "Induction Motor Fault Detection Based on Parameter Identification Using Genetic Algorithm", The Journal of KMUTNB., 2010, Vol. 20.
  39. T Phumiphak, and Chat-uthai, "Estimation of Induction Motor Parameters Based on Field Test Coupled with Genetic Algorithm", Power System Technology, Proceedings, International Conference IEEE, 2002, Vol.2, pp.1199 – 1203.
  40. J Holtz, “Sensorless control of induction machines — With or without signal injection?”, IEE Trans. Ind. Electron., 2006, Vol. 53, no. 1, pp. 7–30.
  41. D Telford, M W Dunnigam, and B W Williams, “Online identification of induction machine electrical parameters for vector control loop tuning”, IEEE Trans. Ind. Electron., 2003, Vol. 50, no. 2, pp. 253–261.

Most read articles by the same author(s)

1 2 > >>