• DocumentCode
    189481
  • Title

    Grey-box identification of the pitch damping coefficient from free flight tests

  • Author

    Albisser, Marie ; Dobre, Simona ; Berner, Claude ; Thomassin, Magalie ; Garnier, Hugues

  • Author_Institution
    ISL, French-German Res. Inst., St. Louis, France
  • fYear
    2014
  • fDate
    24-27 June 2014
  • Firstpage
    1711
  • Lastpage
    1716
  • Abstract
    The identification of the aerodynamic coefficients, based on free flight measurements, remains a difficult task for flying vehicles like space vehicles, munitions, Unmanned Aerial Vehicles. This is mainly due to the nonlinear structure of the mathematical model describing the behavior of the vehicle in flight, the absence of an input signal, the unknown initial conditions and the nonlinear dependence of the aerodynamic coefficients on several state variables. Under these conditions, model parameter estimation must be processed with caution. In this paper, a detailed procedure for the estimation of the aerodynamic coefficients, and more precisely the pitch damping coefficient Cmq of a re-entry space vehicle, is presented. Taking into account a polynomial description of the previous mentioned coefficient, this approach is based on system identification techniques. Thus, several steps are required like the a priori identifiability study, followed by the estimation of the parameters in question, based on real experimental free flight measurements.
  • Keywords
    aerodynamics; autonomous aerial vehicles; identification; space vehicles; aerodynamic coefficients; free flight measurements; grey-box identification; model parameter estimation; pitch damping coefficient; polynomial description; re-entry space vehicle; system identification techniques; unmanned aerial vehicles; Aerodynamics; Damping; Equations; Estimation; Mathematical model; Vehicle dynamics; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 2014 European
  • Conference_Location
    Strasbourg
  • Print_ISBN
    978-3-9524269-1-3
  • Type

    conf

  • DOI
    10.1109/ECC.2014.6862536
  • Filename
    6862536