• DocumentCode
    414109
  • Title

    Optimal wind-assisted flight planning for planetary aerobots

  • Author

    Kämpke, Thomas ; Elfes, Alberto

  • Author_Institution
    FAW, Ulm, Germany
  • Volume
    3
  • fYear
    2004
  • fDate
    26 April-1 May 2004
  • Firstpage
    2542
  • Abstract
    Autonomous airships, or aerobots, that have to traverse extensive distances or explore other bodies of the solar system require careful management of onboard energy resources. For planetary exploration, available energy has to be used for science data gathering, communications with an orbiter or directly with Earth, altitude control and hazard avoidance, close-up navigation for science site investigation, and surface sampling. Consequently, long-distance traverses should be done by relying as much as possible on external energy sources, and in particular on wind energy. In this paper, we address the problem of planning opportunistic flight paths that use know regional or global wind patterns to carry the aerobot to its destination. We assume that the aerobot is able to control its vertical displacement, while horizontal displacement is to be achieved through wind propulsion. We show how energy minimal and time minimal trajectories can be computed for aerobots traversing homogenous wind fields. We also present computational results for 2D and 3D wind fields.
  • Keywords
    aerospace control; aerospace robotics; mobile robots; path planning; remotely operated vehicles; autonomous airship; onboard energy resources management; opportunistic flight path planning; optimal wind assisted flight planning; planetary aerobots; planetary exploration; Communication system control; Energy management; Energy resources; Geoscience; Hazards; Navigation; Planetary orbits; Resource management; Sampling methods; Solar system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2004. Proceedings. ICRA '04. 2004 IEEE International Conference on
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-8232-3
  • Type

    conf

  • DOI
    10.1109/ROBOT.2004.1307444
  • Filename
    1307444