• DocumentCode
    622304
  • Title

    Dynamic flight modeling of a multi-mode flying wing quadrotor aircraft

  • Author

    Ferrell, Peter ; Smith, Brian ; Stark, Brandon ; Yangquan Chen

  • Author_Institution
    MESA Lab., Univ. of California, Merced, Merced, CA, USA
  • fYear
    2013
  • fDate
    28-31 May 2013
  • Firstpage
    398
  • Lastpage
    404
  • Abstract
    As the demand for versatile and efficient aerial vehicles increases, the limits of current aerial vehicles become more apparent. There is a necessity for autonomous unmanned aerial vehicles (UAVs) which can execute tasks that no manned aircraft has the ability to perform. This paper focuses on vertical take off and landing (VTOL) hybrids, a category of UAVs that encompasses features from both VTOL rotorcraft and fixed-wing aircraft. While there is a multitude of unique UAVs that can perform specific tasks, an effective autonomous UAV is one that retains the versatility of VTOL and the efficiency of a winged aircraft. The research presented demonstrates the navigation, guidance, and transition modeling of a VTOL hybrid. The research presented focuses heavily on the future of navigation models concerning this vehicle, where the full potential of a VTOL hybrid will be most useful in real world situations. The models developed are low fidelity to focus on the development of a navigation algorithm.
  • Keywords
    aerospace control; aircraft; autonomous aerial vehicles; navigation; UAV; VTOL rotorcraft; dynamic flight modeling; fixed-wing aircraft; multimode flying wing quadrotor aircraft; navigation models; transition modeling; unmanned aerial vehicles; vertical take off and landing hybrid; Aircraft; Aircraft navigation; Atmospheric modeling; Educational institutions; Mathematical model; Rotors; Vehicles; Convertible VTOL; Navigation Model; Unmanned Aerial System; VTOL hybrid; Vertical Take Off and Landing; micro Unmanned Aerial Vehicle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Unmanned Aircraft Systems (ICUAS), 2013 International Conference on
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    978-1-4799-0815-8
  • Type

    conf

  • DOI
    10.1109/ICUAS.2013.6564714
  • Filename
    6564714