Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
권호 표지

Model Following Adaptive Controller with Rotor Resistance Estimator for Induction Motor Servo Drives

회전자 저항 추정기를 가지는 유동전동기 구동용 모델추종 적응제어기 설계

  • Published : 2001.02.01
Download PDF
⟨ Previous Next ⟩

Abstract

This paper presents an indirect field-oriented (IFO) induction motor position servo drives which uses the model following adaptive controller with the artificial neural network(ANN)-based rotor resistance estimator. The model reference adaptive system(MRAS)-based 2-layer ANN estimates the rotor resistance on-line and a linear model-following position controller is designed by using the estimated the rotor resistance value. At the end, a fuzzy logic system(FLS) is added to make the position controller robust to the external disturbances and the parameter variations. The simulation results show the effectiveness of the proposed method.

Keywords

References

  1. B. K. Bose, Power Electronics and AC Drives, Prentice Hall, 1986
  2. W. Leonhard, Control of Electrical Drives, Springer, 1996
  3. Chan, Wang, 'An effective method for rotor resistance identification for high-performance induction motor vector control', IEEE Trans. Ind. Electron, vol. 7, no. 6, pp. 477-482, 1990 https://doi.org/10.1109/41.103451
  4. M. Koyama et al., 'Microprocessor-based vector control system for induction motor drives with rotor time constant identification function', IEEE Trans. Ind. Applicat., vol. IA-22, no. 3, pp. 453-459, 1986
  5. K. Ohnishi et al., 'Model reference adaptive system against rotor resistance variation in the induction motor drive', IEEE Trans. Ind. Electron., vol. IE-33, no. 3, pp. 217-223, 1986 https://doi.org/10.1109/TIE.1986.350225
  6. T. Matsuo and T. A. Lipo, 'A rotor parameter identification scheme for vector control induction motor drives', IEEE Trans. Ind. Applicat., vol. IA-21, no. 4, pp. 624-632, 1985 https://doi.org/10.1109/TIA.1985.349719
  7. T. Kataoka, S. Toda, and Y. Sato, 'On-line estimation of induction motor parameters by extended kalman filter', Conf. Rec. EPE'93, Brighton (UK), pp. 325-329, 1993
  8. T. Rowan, R. Kerkman, and D. Leggate, 'A simple on-line adaptation for indirect field orientation of an induction machine', IEEE Trans. Ind. Applicat., vol. IA-37, pp. 720-727, 1991 https://doi.org/10.1109/28.85488
  9. Y. D. Landau, Adaptive control : The model reference approach, New York : Marcel Dekker, 1982
  10. 김우현, 윤경섭, 권우현, '선형 모델추종제어되는 유도전동기에서 견실제어기 설계',제어, 자동화,시스템공학 논문지, vol. 5, no. 4, pp. 411-418, 1999
  11. H. J. Zimmermann, Fuzzy Set Theory-and Its Applications, Kluwer-Nijhoff Publishing, 1985