International Journal of Aeronautical and Space Sciences

  • 제7권1호
  • /
  • Pages.73-83
  • /
  • 2006
  • /
  • 2093-274X(pISSN)
  • /
  • 2093-2480(eISSN)
한국항공우주학회 (The Korean Society for Aeronautical and Space Sciences)
권호 표지
DOI QR코드

DOI QR Code

Hybrid Fault Detection and Isolation Techniques for Aircraft Inertial Measurement Sensors

  • 발행 : 2006.06.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

In this paper, a redundancy management system for aircraft is studied, and fault detection and isolation algorithms of inertial sensor system are proposed. Contrary to the conventional aircraft systems, UAV system cannot allow triple or quadruple hardware redundancy due to the limitations on space and weight. In the UAV system with dual sensors, it is very difficult to identify the faulty sensor. Also, conventional fault detection and isolation (FDI) method cannot isolate multiple faults in a triple redundancy system. In this paper, two FDI techniques are proposed. First, hardware based FDI technique is proposed, which combines a parity equation approach with a wavelet based technique. Second, analytic FDI technique based on the Kalman filter is proposed, which is a model-based FDI method utilizing the threshold value and the confirmation time. To provide the reference value for detecting the fault, residuals are calculated using the extended Kalman filter. To verify the effectiveness of the proposed FDI methods, numerical simulations are performed.

키워드

참고문헌

  1. S. K. Yung, and D. W. Clarke, 'Local Sensor Validation', Measu. Control, Vol. 22, No. 2, 1989, pp. 132-141 https://doi.org/10.1177/002029408902200502
  2. R. N. Clark, P. M. Frank, and R. J. Patton, 'Fault Diagnosis in Dynamic Systems: Theory and Applications', Prentice Hall, New York, 1989
  3. R. J. Patton, P. M. Frank, and R. N. Clark, 'Issues of Fault Diagnosis for Dynamic Systems', Springer-Verlag, London, 2000
  4. Q. Zhang, and Y. Yan, 'A Wavelet-based Approach to Abrupt Fault Detection and Diagnosis of Sensors', IEEE Trans. Instrum. Meas., Vol. 50, No. 5, 2001, pp. 1389-1393 https://doi.org/10.1109/19.963215
  5. R. Isermann, and P. Balle, 'Trends in the Application of Model-Based Fault Detection and Diagnosis of Technical Processes', Control Engineering Practice, Vol. 5, No. 5, 1997, pp. 709-719
  6. E. C. Larson, B. E. Parker Jr., and B. R. Clark, 'Model-Based Sensor and Actuator Fault Detection and Isolation', Proceedings of the American Control conference, Anchorage, AK. May 2002, pp. 4215-4219
  7. P. M. Frank, 'Fault Diagnosis in Dynamic System Using Analytical and Knowledge Based Redundancy- A Survey and Some New Results', Automatica, Vol. 26, No. 3, 1990, pp. 459-474 https://doi.org/10.1016/0005-1098(90)90018-D
  8. R. J. Patton, 'Robust Model Based Fault Diagnosis: The State of the Art,' Proceedings of IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, Espoo, Finland, 1994, pp. 1-24
  9. R. Isermann, 'Model Based Fault Detection and Diagnosis Methods', Control Engineering Practice, Vol. 5, No. 5, 1997, pp. 639-652 https://doi.org/10.1016/S0967-0661(97)00046-4
  10. I. Daubechies, Ten Lectures on Wavelets, SIAM, Philadelphia, 1992
  11. A. Bogges, and F. J. Narcowich, A First Course in Wavelets with Fourier Analysis, Prentice Hall, Upper Saddle River, NJ, 2001
  12. R. Patton, P. Frank, and R. Clark, Eds., Fault Diagnosis in Dynamic Systems, Prentice-Hall, Englewood Cliffs, NJ, 1989
  13. R. M. Rao, A. S. Bopardikar, Wavelet Transforms. Addison Wesley Longman, 1998
  14. X. Li, 'Discrete Wavelet Transform for Tool Breakage Monitoring', International Journal of Machine Tools & Manufacture, Vol.39, 1999, pp. 1935-1944 https://doi.org/10.1016/S0890-6955(99)00021-8
  15. J. D. Johnson, 'Real-time Identification of Flutter Boundaries Using the Discrete Wavelet Transform,' Journal of Guidance, Control, And Dynamics, Vol. 25, No. 2, March-April 2002, pp. 334-339 https://doi.org/10.2514/2.4886
  16. F. Botella, 'A Real-time Earthquake Detector With Prefiltering by Wavelets', Computers & Geosciences, Vol. 29, 2003, pp. 911-919 https://doi.org/10.1016/S0098-3004(03)00099-2
  17. S. Santoso, E. J. Powers, W. M. Grady, and P. Hofmann, 'Power Quality Assessment via Wavelet Transform Analysis', IEEE trans. on Power Delivery, Vol. 11, No. 2, April 1996, pp. 924-930 https://doi.org/10.1109/61.489353
  18. S. Mallat, 'A theory of multiresolution signal decomposition: the wavelet representation', IEEE Trans. on Pattern Anal. and Mach. IntelI., Vol. 11, July 1989, pp. 674-693 https://doi.org/10.1109/34.192463
  19. M. Misiti, Y. Misiti, G. Oppenheim, and J-H Poggi, 'Wavelet Toolbox for Use with MATLAB, Lser's Guide Version 2,' The mathworks, Inc. July 2002, pp. 6-62-6-65
  20. H. Hammouri, M. Kinnaert, and E. H. Yaagoubi, 'Observer-Based Approach to Fault Detection and Isolation for Nonlinear Systems', IEEE Transactions on Automatic Control, Vol. 44, No. 10, 1999, pp. 1879-1884 https://doi.org/10.1109/9.793728
  21. R. S. Blum, 'Threshold Optimization for Distributed Ordr- Statistic CFAR Signal Detection', IEEE Transactions on Aerospace and Electronic Systems, Vol. 32, No. 1, 1996, pp. 368-377 https://doi.org/10.1109/7.481276
  22. A. Emami-Naeini, 'Effect of Model Uncertainty on Failure Detection: The Threshold Selector', IEEE Transactions on Automatic Control, Vol. 33, No. 12, 1988, pp. 1106-1115 https://doi.org/10.1109/9.14432
  23. P. M. Frank, 'Enhancement of Robustness in Observer Based Fault Detection', International Journal of Control, Vol. 59, No. 4, 1994, pp. 955-981 https://doi.org/10.1080/00207179408923112
  24. J. Gertler, 'Residual Generation in Model-Based Fault Detecion', Control Theory and Advanced Technology, Vol. 9, No. 1, 1993, pp. 259-285
  25. B. L. Stevens, and F. L. Lewis, Aircraft Control and Simulation, John Wiley & Sons, Inc., New York, 1992
  26. D. J. Mook, and I. M. Shyu, 'Nonlinear Aircraft Tracking Filter Utilizing Control Variable Estimation', Journal of Guidance, Control, and Dynamics, Vol. 15, No. 1, 1992, pp. 228-237 https://doi.org/10.2514/3.20823
  27. J. Garcia-Velo, and B. K. Walker, 'Aerodynamic Parameter Estimation for High- Performance Aircraft Using Extended Kalman Filtering', Journal of Guidance, Control, and Dynamics, Vol. 20, No. 6, 1997, pp. 12571259 https://doi.org/10.2514/2.7597
  28. A. Gelb, Applied Optimal Estimation, MIT Press, Cambridge, 1974

피인용 문헌

  1. Fault Detection and Isolation for Redundant Inertial Measurement Unit under Quantization vol.8, pp.6, 2018, https://doi.org/10.3390/app8060865
  2. Model-based fault diagnosis for aerospace systems: a survey vol.226, pp.10, 2012, https://doi.org/10.1177/0954410011421717