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

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지

Robust Sensorless Control for Induction Motor Drives Fed by a Matrix Converter with Model Reference Adaptive Control

매트릭스 컨버터를 이용한 유도전동기 구동장치의 기준모델 적응제어기법 기반의 강인한 센서리스 제어

  • Published : 2008.04.01
Download PDF
⟨ Previous Next ⟩

Abstract

This paper presents a new robust sensorless control system for high performance induction motor drives fed by a matrix converter with variable structure. The lumped disturbances such as parameter variation and load disturbance of the system are estimated by a variable structure approach based on model reference adaptive scheme. A Reduced Order Extended Luenberger Observer(ROELO) is also employed to bring better responses at the low speed operation. Experimental results are shown to illustrate the performance of the proposed system.

Keywords

References

  1. C. W. Park and Y. W. Cho, "Adaptive tracking control of flexible joint manipulator based on fuzzy model reference approach," IEE Proc. Control Theory Appl., 2004, vol. 150, no. 2, pp. 198-204, 2004
  2. S. K. Tso, X. Xu, and H. Y. Shum, "Variable Structure Model Reference Adaptive Control of Robot Manipulators," Proc. of IEEE Int. Conf. on Robot and Auto., pp.2148-2153, April 1991
  3. L. Hsu, "Variable Structure Model-Reference Adaptive Control (VS-MRAC) Using Only Input and Output Measurements: Part II," Proc. of IEEE 27th Conf. on Decision and Control., pp.2396-2400, Dec. 1988
  4. R. J. Wai, 'Total sliding-mode controller for PM synchronous servo motor drive using recurrent fuzzy neural network', IEEE Trans. Industrial Electronics, vol. 48, no. 5, pp.926-944, 2001 https://doi.org/10.1109/41.954557
  5. M. A. Demetriou, I. G. Rosen, "Variable structure model reference adaptive control of parabolic distributed parameter systems," Proc. of the American Control Conference, pp. 4371-4376, May 2002
  6. C. H. Tsai, H. Y. Chung, and F. M. Yu, "Neuro-sliding mode control with its applications to seesaw systems," IEEE Trans. Neural networks, vol. 15, no. 1, pp. 124-134, 2004 https://doi.org/10.1109/TNN.2003.811560
  7. R. J. Wai, "Total sliding-mode controller for PM synchronous servo motor drive using recurrent fuzzy neural network," IEEE Trans. Industrial Electronics, vol. 48, no. 5, pp. 926-944, 2001 https://doi.org/10.1109/41.954557
  8. C. H. Chou and C. C. Cheng, "A decentralized model reference adaptive variable structure controller for large-scale time-varying delay systems," IEEE Trans. on Automatic Control, vol. 48, no. 7, pp. 1213-1217, 2003 https://doi.org/10.1109/TAC.2003.814263
  9. 이교범, "비선형 모델링과 외란 관측기를 이용한 매트 릭스 컨버터로 구동되는 유도전동기 센서리스 벡터제 어의 성능 개선," 전기학회논문지, 53B권 8호, pp. 500-508, 2004년 8월
  10. C. T. Lin and C. S. Lee, 'Neural fuzzy systems, Prentice Hall' (Upper Saddle River, NJ, 1996, pp.328-330)
  11. J. E. Slotine and W. Li, 'Applied nonlinear control' (Prentice Hall, 1991)
  12. H. X. Li, H. B. Gatland, and A. W. Green, "Fuzzy Variable Structure Control," IEEE Trans. System, Man, And Cyber.-Part B: Cyber., vol. 27, no. 2, pp.306-312, 1997 https://doi.org/10.1109/3477.558824
  13. 이교범, 송주호, 송중호, 최익, "새로운 축소차원 확장 루엔버거 관측기를 이용한 유도전동기 센서리스 벡터 제어," 전기학회논문지, 53B권 3호, pp. 173-179, 2004 년 3월