• DocumentCode
    2168092
  • Title

    Integrated Flight Dynamics Modelling for Unmanned Aerial Vehicles

  • Author

    Ou, Qing ; Chen, Xiaoqi ; Park, David ; Marburg, Aaron ; Pinchin, James

  • Author_Institution
    Dept. of Mech. Eng. Dept., Univ. of Canterbury, Christchurch
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    570
  • Lastpage
    575
  • Abstract
    The primary motivation to build a flight dynamics model was for dead reckoning of unmanned aerial vehicle, a process of estimating the aircraft´s motions from the last known state during the interval of losing GPS signals. When a wind model was added to the flight simulation, it had the ability to either load wind data externally, or to produce random turbulence internally, from light to severe. This additional feature gave the simulation a more realistic flight environment. As a result, it can be used to predict the stability and flying characteristics of UAVs. Likewise, autopilot controllers can be tested in extreme conditions before they are implemented. The modified generic flight model permits modelling of completely arbitrary vehicle configurations, from miniature unmanned aerial vehicles (UAVs) to transonic fighters. Building the model in Matlab Simulink allowed rapid development of new aircraft models, and has provided a very flexible platform for users to tailor their flight models.
  • Keywords
    aerodynamics; aircraft control; remotely operated vehicles; GPS signals; UAV; aircraft motions; autopilot controllers; integrated flight dynamics modelling; modified generic flight model permits modelling; random turbulence internally; unmanned aerial vehicles; Aerospace simulation; Aircraft manufacture; Dead reckoning; Global Positioning System; Mathematical model; Motion estimation; Signal processing; State estimation; Unmanned aerial vehicles; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechtronic and Embedded Systems and Applications, 2008. MESA 2008. IEEE/ASME International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2367-5
  • Electronic_ISBN
    978-1-4244-2368-2
  • Type

    conf

  • DOI
    10.1109/MESA.2008.4735660
  • Filename
    4735660