• DocumentCode
    2583017
  • Title

    Wind-disturbance and aerodynamic parameter estimation of an experimental Launched Micro Air Vehicle using an EKF-like observer

  • Author

    Koehl, A. ; Boutayeb, M. ; Rafaralahy, H. ; Martinez, B.

  • Author_Institution
    Inst. franco-allemand de Recherches de St.-Louis, St. Louis, France
  • fYear
    2010
  • fDate
    15-17 Dec. 2010
  • Firstpage
    6383
  • Lastpage
    6388
  • Abstract
    In this contribution we investigate the problem of wind disturbance and aerodynamic parameter estimation of a Gun-Launched Micro Air Vehicle (GLMAV) which is a new Micro Air Vehicle (MAV) concept, intended for outdoor flights, and using two-bladed coaxial contra-rotating rotors. A comprehensive GLMAV modeling is presented for hover and nearhover flight conditions and identified from experimental results. Hence we use a recent extension of the Extended Kalman Filter (EKF) with Sliding Window (EKFSW) to mainly improve the wind-disturbance estimation from very noisy accelerometer signals.
  • Keywords
    Kalman filters; aerodynamics; aircraft control; nonlinear filters; parameter estimation; rotors; accelerometer signal; aerodynamic parameter estimation; experimental launched micro air vehicle; extended Kalman filter-like observer; gun-launched micro air vehicle modeling; near-hover flight condition; sliding window; two-bladed coaxial contra-rotating rotor; wind disturbance estimation; Aerodynamics; Data models; Equations; Estimation; Load modeling; Mathematical model; Rotors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2010 49th IEEE Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4244-7745-6
  • Type

    conf

  • DOI
    10.1109/CDC.2010.5718080
  • Filename
    5718080