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System Identification of a Small Unmanned Rotorcraft

소형 무인 헬리콥터의 시스템 식별

  • 류성숙 (한국항공대학교 항공우주 및 기계공학) ;
  • 송용규 (한국항공대학교 항공우주 및 기계공학)
  • Published : 2009.01.01

Abstract

In this paper, Recursive Least Squares (RLS) and Fourier Transform Regression (FTR) methods for estimating stability and control derivatives of small unmanned helicopter are evaluated together with MMLE technique. Flight data simulated by using a commercial small-scale helicopter model are exploited to estimate the parameters with accuracies for hover and cruise modes. The performances of the system identification methods are also compared by analyzing the responses of the reconstructed systems using estimated derivatives.

Keywords

References

  1. Y. Song, B. Song,B.Seanor,and M.Napolitano,"OnLineAircraft Parameter Using Fourier Transform Regression With an Application to NASA F/A-18 HARV Flight Data," KSME International Journal, vol. 16, no.3, pp. 327-337, 2002
  2. www.eecs.berkeley.edul
  3. B. Mettler, M. B. Tishler, and T. Kanade, "System identification modeling of a small-scale unmanned rotorcraft for flight control design," Journal of the American Helicopter Society, vol. 47, no. 1, pp. 50-63, 2002
  4. M. B. Tischler and R K. Remple, Aircraft andRotorcraft System Identification, AIAA, 2006
  5. V. Klein and E. A. Morelli, Aircraft System Identifica-tion : Theory and Practice, AIAA, 2006
  6. P. G. Hamel (ed.), RotorcraJt System Identification,AGARD-AR-280, 1991
  7. M. B. Tischler, "System Identification Requirements for High-Bandwidth Rotorcraft Flight Control System Design," J of Guidance, Control, and Dynamics, vol.13, no. 5, pp. 835-841, 1990
  8. J Lucas, B. Martin, L. Ericsson, C. Catterall, and M.Cole, "Combining Static Analyses and Frequency Domain System Identification to Enhance the Accuracy of a Fixed-Wing UAV Simulation," AIAA Aerospace Sciences Meeting, AIAA 2006-640, Jan. 2006