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Mathematical Problems in Engineering
Volume 2010, Article ID 231594, 17 pages
http://dx.doi.org/10.1155/2010/231594
Research Article

Results of Short-Period Helicopter System Identification Using Output-Error and Hybrid Search-Gradient Optimization Algorithm

1Grupo Especial de Ensaios em Vôo (GEEV), Comando-Geral de Tecnologia Aeroespacial, 12.228-904 São José dos Campos, SP, Brazil
2Instituto Tecnológico de Aeronáutica, Comando-Geral de Tecnologia Aeroespacial, 12.228-900 São José dos Campos, SP, Brazil

Received 4 October 2009; Revised 27 March 2010; Accepted 20 May 2010

Academic Editor: Miguel Cerrolaza

Copyright © 2010 Ronaldo Vieira Cruz and Luiz Carlos Sandoval Góes. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. R. Jategaonkar, D. Fischenberg, and W. Von Gruenhagen, “Aerodynamic modeling and system identification from flight data—recent applications at DLR,” Journal of Aircraft, vol. 41, no. 4, pp. 681–691, 2004. View at Google Scholar · View at Scopus
  2. K. C. Wang and K. W. Iliff, “Retrospective and recent examples of aircraft parameter identification at NASA Dryden Flight Research Center,” Journal of Aircraft, vol. 41, no. 4, pp. 752–764, 2004. View at Google Scholar · View at Scopus
  3. P. G. Hamel and J. Kaletka, “Advances in rotorcraft system identification,” Progress in Aerospace Sciences, vol. 33, no. 3-4, pp. 259–284, 1997. View at Google Scholar · View at Scopus
  4. G. D. Padfield, “Applications of system identification in rotorcraft flight dynamics,” Vertica, vol. 13, no. 3, pp. 207–412, 1989. View at Google Scholar
  5. M. B. Tischler and R. K. Remple, Aircraft and Rotorcraft System Identification: Engineering Methods with Flight Test Examples, American Institute of Aeronautics and Astronautics, Blacksburg, Va, USA, 2006.
  6. P. Hajela and J. Lee, “Genetic algorithms in multidisciplinary rotor blade design,” in Proceedings of the 36th AIAA Structures, Structural Dynamics, and Materials Conference, pp. 2187–2197, New Orleans, La, USA, April 1995.
  7. V. L. Wells, A. Y. Han, and W. A. Crossley, “AGARD CP-552: Acoustic Design of Rotor Blades Using a Genetic Algorithm,” pp. 35.1–35.10, 1995.
  8. P. M. T. Zaal, D. M. Pool, Q. P. Chu, M. M. V. Paassen, M. Mulder, and J. A. Mulder, “Modeling human multimodal perception and control using genetic maximum likelihood estimation,” Journal of Guidance, Control, and Dynamics, vol. 32, no. 4, pp. 1089–1099, 2009. View at Publisher · View at Google Scholar · View at Scopus
  9. R. V. Cruz, N. S. Brasil Neto, and L. C. S. Góes, “Preliminary results of longitudinal helicopter system identification using genetic optimization algorithm,” in Proceedings of the 5th Brazilian Conference on Dynamics, Control and their Applications, Guaratinguetá, Brazil, 2006.
  10. R. V. Cruz and L. C. S. Góes, “Results of longitudinal helicopter system identification using output-error and both genetic and Levenberg-Marquardt optimization algorithm,” in Proceedings of the 19th Brazilian Congress of Mechanical Engineering, Brasília, Brazil, 2007.
  11. J. del Cerro, J. Valero, and A. Barrientos, “Identification of a small unmanned helicopter model using genetic algorithms,” in Proceedings of the International Conference on Intelligent Robots and Systems, Edmonton, Canada, 2005.
  12. R. V. Jategaonkar, Flight Vehicle System Identification: A Time Domain Methodology, Progress in Aerospace Sciences, Reston, Va, USA, 2006.
  13. N. N. Salis Brasil, L. C. S. Góes, and E. M. Hemerly, “Aircraft parameter estimation experiment design considering measurement colored residuals,” Journal of Aircraft, vol. 46, no. 6, pp. 1857–1865, 2009. View at Google Scholar
  14. R. W. Prouty, Helicopter Performance, Stability and Control, Krieger, Malabar, Fla, USA, 1989.
  15. A. K. Cooke and E. W. H. Fitzpatrick, Helicopter Test and Evaluation, American Institute of Aeronautics and Astronautics, Reston, Va, USA, 2002.
  16. R. K. Heffley, W. F. Jewell, J. M. Lehman, and R. A. Van Winkle, “A compilation and analysis of helicopter handling qualities data,” NASA Contractor Reports 3144, p. 375, 1979. View at Google Scholar
  17. J. A. Mulder, J. K. Sridhar, and J. H. Breeman, “Identification of dynamic systems: applications to aircraft, part 2: nonlinear analysis and maneuver design,” vol. 3, part 2, (AGARD AG-300), 1994.
  18. W. H. Press, B. P. Flannery, S. A. Teukolsky, and W. T. Vetterling, Numerical Recipes in C: The Art of Scientific Computing, Cambridge University Press, Cambridge, UK, 1988. View at MathSciNet
  19. G. C. Goodwin and R. L. Payne, Dynamic System Identification: Experiment Design and Data Analysis, vol. 136 of Mathematics in Science and Engineering, Academic Press, New York, NY, USA, 1977. View at MathSciNet
  20. J. S. Bendat and A. G. Piersol, Measurement and Analysis of Random Data, John Wiley & Sons, New York, NY, USA, 3rd edition, 2000. View at Zentralblatt MATH · View at MathSciNet