A Study on the Parameter Estimation of DURUMI-II for the Fixed Right Elevator Using Flight Test Data

  • 발행 : 2006.08.01

초록

The stability and control derivatives of DURUMI-lI UAV using the flight test are obtained. The flight test data is gathered from the normal flight condition (normal mode) and the flight condition assumed as the right elevator fixed (fault mode). Using real-time parameter estimation techniques, applied to Fourier transform regression method, simulates the aircraft motion. From the result, the fault of control surface is to be detected. In this paper, the results of the real- time parameter estimation techniques are compared with the results of the Advanced Aircraft Analysis (AAA). Using the aerodynamic derivatives, it provides the base line of normal/failure for the control surface by using the on-line parameter estimation of Fourier transform regression. In flight, this approach maybe helpful to detect and isolate the fault of primary control surface. It is explained how to perform the flight condition assumed as the right elevator fixed in the flight test. Also, it is mentioned how to switch between the normal flight condition and the assumed fault flight condition.

키워드

참고문헌

  1. FUTABA, 1995, 'Futaba Digital Proportional Radio Control Instruction & Operation Manual: PCMI024ZA/PCM1024ZH,' FUTABA Corporation
  2. Garcia-Velo, J. B., 1991, 'Parameter Estimation of an Unstable Aircraft Using an Extended Kalman Filter,' Master of Science
  3. Garcia-Velo, J. B. and Walker, B. K., 1997, 'Aerodynamic Parameter Estimation for High Performance Aircraft Using Extended Kalman Filter,' J. Guidance, Control and Dynamics, Vol. 20, No.6, pp. 1257-1260 https://doi.org/10.2514/2.7597
  4. Gelb, A., 1974, 'Applied Optimal Estimation,' The M.I.T. Press
  5. Hwang, M. S., Eun, H. B., Park, W. J. et al., 2001, 'Lateral Stability/Control Derivatives Estimation of Canard Type Airplane from Flight Test,' Proceedings of the ICCAS 2001
  6. Hwang, M. S., Park, W. J. et al., 2002, 'Later-al Stability Improvement of a Canard Airplane Using a Vertical Panel,' AIAA Atmospheric Flight Mechanics Conference and Exhibit, AIAA-20024625, Monterey, California
  7. Ljung, L., 1987, 'System Identification: Theory for the User,' Prentice Hall, Englewood Cliffs, NJ
  8. Mendel, J. M., 1987, 'Lessons in Digital Estimation Theory,' Prentice-Hall
  9. Morelli, E. A., 1998, 'In-flight System identification,' Proceedings of the 1998 AIAA Atmospheric Flight Mechanics Conference, AIAA-984261, Boston, Ma
  10. Morelli, E. A., 1999, 'Real-Time Parameter Estimation in the Frequency Domain,' Proceedings of the 1999 AIAA Atmospheric Flight Mechanics Conference, AIAA-99-4043, Portland, Or
  11. Morelli, E. A., 2000, 'Identification of Low Order Equivalent System Models From Flight Test Data,' NASA-TM-210117
  12. Morelli, E. A., 1997, 'High Accuracy Evaluation of the Finite Fourier Transform Using Sam-pled Data,' NASA-TM-110340
  13. NTPS, 2000, 'Introduction to Performance and Flying Qualities Flight Testing,' National Test Pilot School
  14. Napolitano, M. R., Song, Y. K. and Seanor, B., 2001, 'On-Line Parameter Estimation for Restructurable Flight Control Systems,' Aircraft Design
  15. Park, W. J., 1997, ' Parameter Estimation of Aerodynamic Stability Derivatives Using Extended Kalman Filter (Longitudinal Motion),' Master of Science, Hankuk Aviation University
  16. Park, W. J., 2004, 'A Study on the Design of Real-Time Parameter Estimator for an Aircraft, ' PhD Thesis, Hankuk Aviation University
  17. Smetana, F. O., 1983, 'Computer Assisted Analysis of Aircraft-Performance Stability and Control,' McGraw-Hill, pp. 37-166
  18. Song, Y. K. 2001, 'A Study on Real-Time Aircraft Parameter Estimation,' Proceedings of the KSAS Spring Annual Meeting 2001, pp.359-362