The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
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Precision Position Control of Induction Motors using TCP-IP Network Board

TCP-IP네트워크 보드를 이용한 유도전동기의 정밀 위치 제어

  • Published : 2008.02.01
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Abstract

This paper presents a new method for world wide network motor controlled system. It uses disturbance observer to present high precision position control algorithm to disturbance change, and to apply this to induction motors. It shows that proposed algorithm is strong in induction motor precision control for disturbance change. This system with disturbance observer used deadbeat control, which have high benefit, is good for quick disturbance compensation. To show these effectiveness the whole process is simulated by simulink, and also experimented by DSP6416 with TCP-IP network board.

Keywords

References

  1. D. W. Novotny and R. D. Lorentz "Introduction to field orientation and high performance AC drives" IEEE-IAS Tutorial Course, 1986
  2. P. C. Krause, Analysis of electric machinery, McGraw-Hill, 1984
  3. K. J. Astrom and B. Wittenmark Computer controlled system, Prentice Hall, International, 1997
  4. J. S. Ko, J. H. Lee, S. k. Chung, and M. J. Youn "A Robust Position Control of Brushless DC motor with Dead Beat Load Torque Observer" IEEE Transaction on Industrial Electronics, vol. 40, no. 5, pp. 512-520, 1993 https://doi.org/10.1109/41.238020
  5. C. T. Chen, Linear System Theory and Design, Holt, Rinehart and Winston, Inc., 1984
  6. C. Y. Huang, T. C. Chen, C. L. Huang "Robust Control of Induction Motor with A Neural-Network Load Torque Estimator and A Neural-Network Identification" IEEE Transaction on Industrial Electronics, vol. 46, no. 5, pp 990-998, 1999 https://doi.org/10.1109/41.793348
  7. J. D. Landau, System Identification and Control Design. Englewood Cliffs, NJ, Prentice-Hall, 1990
  8. G. C. Goodwin, K. S. Sin, Adaptive Filtering Prediction and Control. Englewood Cliffs, NJ, Prentice-Hall, 1984
  9. Hornick K., Stinchcombe M., and White H., "Multi-layer Feedforward Networks are Universal Approximators", Neural Networks, Vol. 2, 1989
  10. Chen, F. "Back-Propagation Neural Networks for Nonlinear Self-Tuning Adaptive Control", IEEE Control System Magazine, April, 1990
  11. Jong Sun Ko and Myung Joong Youn, "Robust Digital Position Control of BLDD Motors using Neural Network with State Feedback," Proc. of the 3rd. International Workshop on Advanced Motion Control, pp. 852-861, March, 1994
  12. 고종선, 이태호, 전칠환, 이상설 "외란관측기와 파라미터 보상기를 이용한 PMSM의 정밀 속도제어 "전력전자학회 논문지 6권, 1호 2001년 2월
  13. A. Krzyzak, E. Rafajtowicz, M. Pawlak "Moving Average Restoration of Bandlimited Signals from Noisy Observations", IEEE Trans. on signal processing, Vol. 45, No. 12, 1997
  14. B. K. Bose, Power Electronics and AC Drives, PRentic-Hall, 1986
  15. H. Kubota, K. Matsuse, and T. Nakao, "DSP-based speed adaptive flux observer of induction motor," IEEE Trans. Ind. Appl., vol. 29, no2, pp. 344-348, 1993 https://doi.org/10.1109/28.216542
  16. Z. Zhaoyong, L. Tiecai, T. Takahashi, and E. Ho, "Design of a universal space vector PWM controller based on FPGA," IEEE APEC'04, pp. 1698-1702, 2004
  17. A. M. Trzynadlowski, M. M. Bech, F. Blaabjerg, and J. K. Pedersen, "An integral space-vector PWM technique for DSP-controlled voltage-source inverters," IEEE Trans. on Ind. Appl., vol. 35, no. 5, pp. 1091-1097, 1999 https://doi.org/10.1109/28.793370
  18. Y.-Y. Tzou, H.-J. Hsu, "FPGA realization of space-vector PWM control IC for three-phase PWM inverters," IEEE Trans. on Power Electr., vol. 12, no. 6, pp. 953-963, 1997 https://doi.org/10.1109/63.641493
  19. J. Ye, P. Lin, W. Liqiao, and Z. Zhang, "Development of optimized SVPWM algorithm based on CPLD," Conf. Rec. IPEMC '04, pp. 603-1606, 2004