• DocumentCode
    1869109
  • Title

    Autonomous aircraft flight control for constrained environments

  • Author

    How, Jonathan P. ; McGrew, James S. ; Frank, Adrian A. ; Hines, George H.

  • Author_Institution
    Dept. of Aeronaut. & Astronaut., MIT, Cambridge, MA
  • fYear
    2008
  • fDate
    19-23 May 2008
  • Firstpage
    2213
  • Lastpage
    2214
  • Abstract
    The real-time indoor autonomous vehicle test environment (RAVEN) at MIT´s Aerospace Controls Laboratory is home to a diverse fleet of aircraft, from a styrofoam and cellophane dragonfly to a set of quadrotor Draganflyer helicopters. The helicopters are used primarily for swarm and health management research. Alongside these machines is a set of more conventional aircraft designed to study autonomous aircraft flight control in constrained environments. The objectives of this work are to develop and validate flight control concepts for aggressive (aerobatic) maneuvers, and, in particular, to identify the sensor suites needed, and the likely limits of achievable performance. Our work is motivated by the future goals of flying micro (or nano) air vehicles in constrained (e.g., urban or indoors) environments.
  • Keywords
    aerospace control; microrobots; mobile robots; real-time systems; MIT Aerospace Controls Laboratory; aerobatic aircraft maneuvers; aggressive aircraft maneuvers; autonomous aircraft flight control; constrained environments; micro air vehicles; nano air vehicles; realtime indoor autonomous vehicle test environment; Adaptive control; Aerospace control; Aircraft; Control systems; Helicopters; Land vehicles; Programmable control; Real time systems; System testing; Unmanned aerial vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2008. ICRA 2008. IEEE International Conference on
  • Conference_Location
    Pasadena, CA
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-1646-2
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2008.4543539
  • Filename
    4543539