The Transactions of the Korean Institute of Electrical Engineers B (대한전기학회논문지:전기기기및에너지변환시스템부문B)

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지

HBPI Controller of Induction Motor using Fuzzy Adaptive Mechanism

퍼지 적응 메카니즘을 이용한 유도전동기의 HBPI 제어기

  • 남수명 (순천대 공대 정보통신공학부) ;
  • 이홍균 (순천대 공대 전기공학과) ;
  • 정동화 (순천대 공대 정보통신공학부)
  • Published : 2005.08.01
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Abstract

This paper presents Hybrid PI(HBPI) controller of induction motor drive using fuzzy control. In general, PI controllers used in computer numerically controlled machines process fixed gain. They may perform well under some operating conditions, but not all. To increase the robustness of fixed gain PI controller, HBPI controller proposes a new method based self tuning PI controller. HBPI controller is developed to minimize overshoot and settling time following sudden parameter changes such as speed, load torque, inertia, rotor resistance and self inductance. The results on a speed controller of induction motor are presented to show the effectiveness of the proposed gam tuner. And this controller is better than the fixed gains one in terms of robustness, even under great variations of operating conditions and load disturbance.

Keywords

References

  1. G. J. Wang, C. T. Fong and K. J. Chang, 'Neural network based self tuning PI controller for precise motion control of PMAC motors,' IEEE Trans. on IE, vol. 48, no. 2, pp. 408-416, 2001 https://doi.org/10.1109/41.915420
  2. M. Santos and J. M. de la Cruz, 'Between fuzzy PID and PID conventional controllers,' NAFIPS'96, Berkley, USA, June 1996 https://doi.org/10.1109/NAFIPS.1996.534716
  3. M. Ali Unar, D. J. Murray-Smith and S. F. Ali Shah, 'Design and tuning of fixed structure PID controller - A survey,' Technical Report CSC-96016, Faculty of Engineering, Glasgow University, Scotland, 1996
  4. Z. Ibrahim and E. Levi, 'Comparative analysis of fuzzy logic and PI speed control in high performance AC drives using experimental approach,' Proc. of IEEE IAS'2000, Rome, Italy, CD-ROM paper 46-3, 2000 https://doi.org/10.1109/IAS.2000.881988
  5. M. N. Uddin, T. S. Radwan and M. A. Rahman, 'Performance of fuzzy logic based indirect vector control for induction motor drive,' IEEE Trans. on IA, vol. 38, no. 5, pp. 1219-1225, 2002 https://doi.org/10.1109/TIA.2002.802990
  6. J. C. Lee and D. H. Chung, 'MRAC fuzzy control for high performance of induction motor drive,' The Trans. of KIPE, vol. 7, no. 3, pp. 215-223, 2002
  7. H. G. Lee, J. C. Lee and D. H. Chung, 'Design of fuzzy controller induction drive considering parameter change,' The Trans. of KIEE, vol. 51P, no. 3, pp. 111-119, 2002
  8. H. G. Lee, J. C. Lee and D. H. Chung, 'New fuzzy controller for high performance of induction motor drive,' The journal of KIIS, vol. 17, no. 4, pp. 87-93, 2002
  9. H. G. Lee, J. C. Lee and D. H. Chung, 'Adaptive FNN controller for speed control of IPMSM drive,' The Trans. of KIEE, vol. 41-SC, no. 3, pp. 39-46, 2004
  10. K.J. Astron and B. Wittenmark, 'Adaptive control,' Addison-Wesley, 1989
  11. D. H. Chung, 'Power electronics and motor control,' Inter Vision Press, 2004
  12. I. J. Leontaritis and S. A. Billings, 'Input-output parametric models for nonlinear systems,' Int. J. Contr., vol. 41, pp. 303-344, 1985 https://doi.org/10.1080/0020718508961129