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Case Study: Model Validation and Experiment Design for Helicopter Simulation Model Development and Applications

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Part of the book series: Simulation Foundations, Methods and Applications ((SFMA))

Abstract

This case study brings together issues that are important in the testing and validation of physically-based nonlinear models of helicopters and other types of rotorcraft. The need for accurate and fully-tested models has been increasingly recognised during the past 30 years because of the introduction of active control technology in helicopters. The techniques emphasised within the case study are based on the system identification and parameter estimation approach and special consideration is given to questions of test input design. Compared with many other application areas in engineering, the problems of model validation are challenging for all forms of rotorcraft due to issues such as the inherent instability of the vehicles for some flight conditions (unless external feedback control is applied), major uncertainties in terms of some aspects of the aerodynamics of the vehicles and problems with experimental test records due to the short record lengths likely to be available and the high levels of noise for some measured variables.

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References

  1. Hamel PG (1994) Aerospace vehicle modelling requirements for high bandwidth flight control. In: Cook MV, Rycroft MJ (eds) Aerospace vehicle dynamics and control. Clarendon, Oxford, pp 1–31

    Google Scholar 

  2. Anonymous (1994) Aeronautical design standard ADS-33D. Handling qualities specifications for military rotorcraft. Directorate for Engineering, US Army Aviation and Troop Command, St. Louis

    Google Scholar 

  3. Manness MA, Murray-Smith DJ (1992) Aspects of multivariable flight control law design for helicopters using eigenstructure assignment. J Am Helicopter Soc 37(3):18–32

    Article  Google Scholar 

  4. Padfield GP, Du Val RW (1991) Application areas for rotorcraft system identification: simulation model validation. In: AGARD lecture series 178, Rotorcraft system identification, 12.1–12.30, AGARD, Neuilly-sur-Seine

    Google Scholar 

  5. Tischler MB, Remple RK (2006) Aircraft and rotorcraft system identification, Chapter 14 (Time-domain verification of identified models). AIAA, Reston, VA

    Google Scholar 

  6. Lu L, Padfield GD, White M et al (2011) Fidelity enhancement of a rotorcraft simulation model through system identification. Aeronaut J 115(1170):453–470

    Google Scholar 

  7. Anonymous (1991) Rotorcraft system identification, AGARD Advisory Report 280 (AGARD-AR-280). AGARD, Neuilly sur Seine

    Google Scholar 

  8. Rabiner LR, Schafer R, Rader CM (1969) The chirp z-transform algorithm. IEEE Trans Acoust Electroacoust AU17:86–92

    Article  Google Scholar 

  9. Tischler MB, Remple RK (2006) Aircraft and rotorcraft system identification. AIAA, Reston, VA

    Google Scholar 

  10. Padfield GD, Thorne R, Murray-Smith DJ et al (1987) U.K. research into system identification for helicopter flight mechanics. Vertica 11(4):665–684

    Google Scholar 

  11. Anonymous (1991) Rotorcraft system identification, AGARD lecture series 178 (AGARD-LS-178). AGARD, Neuilly sur Seine

    Google Scholar 

  12. Bradley R, Padfield GD, Murray-Smith DJ et al (1990) Validation of helicopter mathematical models. Trans Inst Meas Control 12(4):186–196

    Article  Google Scholar 

  13. Hunter WG, Hill WJ, Henson HL (1969) Designing experiments for precise estimation of some of the constants in a mechanistic model. Can J Chem Eng 47:76–80

    Article  Google Scholar 

  14. Maine R, Iliffe R (1985) Identification of dynamic systems – theory and implementation. NASA report RP-1138. NASA, Dryden Flight Research Center, Edwards, CA

    Google Scholar 

  15. Klein V (1979) Identification evaluation methods. In: AGARD lecture series 104 (AGARD-LS-104) Rotorcraft system identification, Section 2. AGARD, Neuilly-sur-Seine

    Google Scholar 

  16. Black CG, Murray-Smith DJ (1989) A frequency-domain system identification approach to helicopter flight mechanics model validation. Vertica 13(3):343–368

    Google Scholar 

  17. Rao CR (1945) Information and the accuracy attainable in the estimation of statistical parameters. Bull Calc Math Soc 37:81–91

    MATH  Google Scholar 

  18. Tischler MB (1991) Identification techniques –frequency domain methods. In: AGARD lecture series 178 (AGARD-LS-178) Rotorcraft system identification, Section 6. AGARD, Neuilly-sur-Seine

    Google Scholar 

  19. Kaletka J (1979) Rotorcraft identification experience. In: AGARD lecture series 104 (AGARD-LS-104) Rotorcraft system identification, Section 7. AGARD, Neuilly-sur-Seine

    Google Scholar 

  20. Otnes RK, Enochson J (1978) Applied time series analysis. Wiley, New York

    MATH  Google Scholar 

  21. Leith DJ, Murray-Smith DJ (1989) Experience with multi-step test inputs for helicopter parameter identification. Vertica 3(3):403–412

    Google Scholar 

  22. Mehra RK (1974) Optimal input signals for parameter estimation in dynamic systems – survey and new results. IEEE Trans Auto Control AC-19:753–768

    Article  MathSciNet  Google Scholar 

  23. Padfield GD (1981) A theoretical model of helicopter flight mechanics for application to piloted simulation. Royal Aircraft Establishment Technical Report 80148. HMSO, London

    Google Scholar 

  24. Bradley R, Black CG, Murray-Smith DJ (1989) System identification strategies for models incorporating induced flow. Vertica 13(3):281–293

    Google Scholar 

  25. Murray-Smith DJ (1991) Robustness issues. In: AGARD Advisory Report 280, Rotorcraft system identification, (AGARD-AR-280). AGARD. Neuilly-sur-Seine, pp 213–222

    Google Scholar 

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Murray-Smith, D.J. (2015). Case Study: Model Validation and Experiment Design for Helicopter Simulation Model Development and Applications. In: Testing and Validation of Computer Simulation Models. Simulation Foundations, Methods and Applications. Springer, Cham. https://doi.org/10.1007/978-3-319-15099-4_10

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  • DOI: https://doi.org/10.1007/978-3-319-15099-4_10

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15098-7

  • Online ISBN: 978-3-319-15099-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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