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

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

직접토크제어 유도전동기 구동 서보시스템을 위한 장치고장 진단 기법

An Instrument Fault Diagnosis Scheme for Direct Torque Controlled Induction Motor Driven Servo Systems

  • 이기상 (단국대학교 전기전자컴퓨터공학부) ;
  • 유지수 (단국대학교 전기전자컴퓨터공학부)
  • 발행 : 2002.06.01
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초록

The effect of sensor faults in direct torque control(DTC) based induction motor drives is analyzed and a new Instrument fault detection isolation scheme(IFDIS) is proposed. The proposed IFDIS, which operated in real-time, detects and isolates the incipient fault(s) of speed sensor and current sensors that provide the feedback information. The scheme consists of an adaptive gain scheduling observer as a residual generator and a special sequential test logic unit. The observer provides not only the estimate of stator flux, a key variable in DTC system, but also the estimates of stator current and rotor speed that are useful for fault detection. With the test logic, the IFDIS has the functionality of fault isolation that only multiple estimator based IFDIS schemes can have. Simulation results for various type of sensor faults show the detection and isolation performance of the IFDIS and the applicability of this scheme to fault tolerant control system design.

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참고문헌

  1. W. Leonhard. Control of Electrical Drives, Springer-Verlag, 1996
  2. Peter Vas, Eelctrical Machines and Drives a Space-Vector Theory Approach, Oxford Science Publications, 1992
  3. Peter Vas, Sensorless Vector and Direct Torque Control, Oxford Science Publications, 1998
  4. 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
  5. 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
  6. R. R. Schon and T. G. Habetler, 'A new method of current-based condition monitoring in induction machines operating under arbitrary load conditions,' Electric machines and power systems, Vol. 26, pp. 141-152, 1995
  7. S. M. Shinners, Modern Control System Theory and Design, Second edition, John-Wiley & Sons, 1998
  8. R. Patton, P. Frank, and R. Clark, Fault Diagnosis in Dynamic Systems Theory and Application, Prentice Hall, 1989
  9. A. D. Pouliezos and G. S. Stavrakakis, Real Time Fault Monitoring of Industrial Processes, Kluwer Academic Pub., 1994
  10. M. Depenbrock, 'Direct Self-Control(DSC) of Induction Machine,' IEEE Trans. on Power Electronics, Vol. 3, No. 4, pp. 581-588, 1988 https://doi.org/10.1109/63.17963
  11. 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
  12. R. Ortega, N. Barabanov, and G. E. Valderrama, 'Direct Torque Control of Induction Motors: Stability Analysis and Performance Improvement,' IEEE Trans. on Automatic Control, Vol. 46, No. 8, pp. 1209-1222, 2001 https://doi.org/10.1109/9.940925
  13. G. Buja, D. Casadei, and G. Serra, 'Direct Torque Control of Induction Motor Drives,' IEEE Symposium on Industrial Electronics, ISIE proceedings, pp. TU2-TU8, 1997 https://doi.org/10.1109/ISIE.1997.651717
  14. C. Thybo, Fault-tolerant Control of Inverter Fed Induction Motor Drives, Ph.D. Thesis, Aalborg University, Denmark, 2000
  15. M. Y. Chow, 'On the Application and Design of Artificial Neural Networks for motor Fault Detection I and II,' IEEE Trans. on Industrial Electronics, Vol. 40, No. 2, pp. 89-96, 1993 https://doi.org/10.1109/41.222640
  16. Peter Vas, Parameter Estimation, Condition Monitoring and Diagnosis of Electrical Machines, Oxford science publications, 1993
  17. I. E. Alguindigue, 'Monitoring and Diagnosis of Rolling Element Bearings using Artificial Neural Networks,' IEEE Trans. on Industrial Electronics, Vol. 40, No. 2, pp. 209-217, 1993 https://doi.org/10.1109/41.222642
  18. S. M. Bennett, R. J. Patton, and S. Daley, 'Using a Bilinear Motor Model for a Sensor Fault Tolerant Rail Traction Drives,' Preprints of SAFEPROCESS 97, pp. 783-788, 1997
  19. C. Depersis and A. Isidori, 'A Geometric Approach to Nonlinear Fault Detection and Isolation,' IEEE Trans. on Automatic Control, Vol. 46, No. 6, pp. 853-865, 2001 https://doi.org/10.1109/9.928586
  20. H. Kubota, K. Matsuse, and T. Nakano, 'DSP-based Speed Adaptive Flux Observer of Induction Motor,' IEEE Trans. on Industry Applications, Vol. 29, No. 2, pp. 344-348, 1993 https://doi.org/10.1109/28.216542
  21. H. Kubota and K. Matsuse, 'Speed Sensorless Field-oriented Control of Induction Motor with Rotor Resistance Adaptation,' IEEE Trans. on Industry Applications, Vol. 30, No. 5, pp. 1219-1224, 1994 https://doi.org/10.1109/28.315232