대한전기학회논문지:시스템및제어부문D (The Transactions of the Korean Institute of Electrical Engineers D)

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

전력 등가관계를 이용한 벡터제어 유도전동기의 엔코더 고장 해석 및 검출

Analysis and Detection of Encoder Fault for Vector Controlled Inducton Motor Drives using Power Parity Relations

  • 류지수 (단국대학교 전기전자컴퓨터공학부) ;
  • 이기상 (단국대학교 전기전자컴퓨터공학부) ;
  • 박태건 (충북과학대학 전자정보과)
  • 발행 : 2003.06.01
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초록

In induction motor control systems driven by the indirect vector control scheme, the rotor speed is measured to determine the flux angle which is a key variable in the control algorithm. The most popular way to measure the angular velocity is the use of rotary encoder. Since the errorneous measurement of rotor speed results in incorrect flux angle estimate, the control input generated based on the faulty information should be far from the desired (correct) value and deteriorates the overall control performance. In this paper the effects of encoder fault on motor variables and control performance are analyzed by both theoretical approach and experimental study. A parity equation based on the Power is suggested and applied to detect the incipient fault of encoder.

키워드

참고문헌

  1. C. Thybo, Fault-tolerant Control of Inverter Fed Induction Motor Drives, Ph.D. Thesis, Aalborg University, Denmark, 2000
  2. Peter Vas, Sensorless Vector and Direct Torque Control, Oxford Science Publications, 1998
  3. I. Takahashi and T. Noguchi, 'A New Quick-Response and High-Efficiency Control Strategy of an Induction Motor,' IEEE Trans. on Industry Applications, Vol. 22, No. 5, pp. 820-827, 1986 https://doi.org/10.1109/TIA.1986.4504799
  4. R. Marino, S. Presada, and P. Valigi, 'Adaptive inpu-output linearizing control of induction motors', IEEE Trans. Automatic Control, Vol. 38, No. 2, pp. 208-221. 1993 https://doi.org/10.1109/9.250510
  5. C. Kral, R. S. Wieser, F. Pierker and M. Schagginger, 'Sequences of Field-Oriented Control for the Detection of Faulty Rotor Bars in Induction Machines-The Vienna Monitoring Method,' IEEE Trans. on Industrial Electronics, Vol. 47, No. 5, pp. 1042-1050, 2000 https://doi.org/10.1109/41.873212
  6. R. R. Schon et. al. 'Motor Bearing Damage Detection using Stator Current Monitoring,' IEEE Trans. on Industry Applications, Vol. 31, No. 6, pp. 1274-1279, 1995 https://doi.org/10.1109/28.475697
  7. M. Y. Chow, 'On the application and design of artificial neural networks for motor fault detection I and II', IEEE Trans. Industrial Electronics, Vol. 40, No. 2, pp. 89-96, 1993 https://doi.org/10.1109/41.184825
  8. P. Vas, Parameter estimation, condition monitoring and diagnosis of electrical machines, Oxford Science Publications, 1998
  9. I. E. Alguindigue, 'Monitoring and diagnosis of rolling element bearings using artificial neural networks', IEEE Trans. Industrial Electronics, Vol. 40, No. 2, pp. 209-217, 1993 https://doi.org/10.1109/41.222642
  10. S. M. Bennet. R. J. Patton, and S. Daley, 'Using a bilinear motor model for a sensor fault tolerant rail traction drives', Preprints of SAFEPROCESS, pp. 783-788, 1997
  11. 이기상, 류지수, '직접토크제어 유도전동기 구동 서보시스템을 위한 장?資?진단 기법', 전기학회논문지, Vol. 51D, No. 6, pp. 241-151, 2002