Parameter Estimation of Three-Phase Induction Motor by Using Genetic Algorithm

  • Jangjit, Seesak ;
  • Laohachai, Panthep
  • Published : 2009.09.01


This paper suggests the techniques in determining the values of the steady-state equivalent circuit parameters of a three-phase induction machine using genetic algorithm. The parameter estimation procedure is based on the steady-state phase current versus slip and input power versus slip characteristics. The propose estimation algorithm is of non-linear kind based on selection in genetic algorithm. The machine parameters are obtained as the solution of a minimization of objective function by genetic algorithm. Simulation shows good performance of the propose procedures.


parameter estimation;induction motor;genetic algorithm


  1. S. Ansuj and, F. Shokooh, and R. Schinzingger, 'Parameter Estimation for Induction Machines Based on Sensitivity Analysis,' IEEE Transl, on industry application, .vol. 25, no 6, pp. 1035-1040
  2. Dong Hwa Kim, and Jea Hoon Cho, 'Parameter Estimation of a squirrel-Double Cage Induction Motor Using Clonal Selection of Immune Algorithm,' IEEE Industrial Electronics Society, Busan, Korea, p. 1190-1194
  3. P.Vaclavek and P. Blaha, 'Lypunov-Function-Based Flux and Speed Observer for AC Induction Motor Sensorless Control and Parameters Estimation,' IEEE Transl, on industry Electronics, .vol. 53, no 1, pp. 138-145
  4. M. Calvo and O.P. Malik, 'Synchronous Machine Steady-State Parameter Estimation Using Neural Networks,' IEEE Transl, on Energy Conversion, .vol. 19, no 2, pp. 237-244
  5. D. J. Atkinson, P. P. Acarnley, and J.W. Finch, 'Observers for Induction Motor State and Parameter Estimation,' IEEE Transl, on industry Applications, vol. 27, no 6, pp. 1119-1127
  6. K. Wang, J Chiasson, M. Bodson, and L.M. Tolbert, 'A Nonlinear Least-Squares Approach for Identification of the Induction Motor Parameters,' Proc. 43th IEEE Conference on Decision and Control, December 14-17, 2004, Atlantis, Paradise Island, Bahamas, pp. 3856-3861
  7. G. K. Stefopoulos, P .S. Georgilakis, N.D.Hatziargyriou, and A .P. Sakis Meliopoulos, 'A Genetic Algorithm Solution to the Governor-Turbine Dynamic Model Identification in Multi-Machine Power System,' Proc. 44th IEEE Conference on Decision and Control, and the European Control Conference 2005, December 12-15, 2005, pp. 1288-1294
  8. Z.Michalewicz, Genetic Algorithms + Data Structures = Evolution Programs. New York: Springer-Verlag, 1996

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