• DocumentCode
    1575837
  • Title

    Control of autonomous airship

  • Author

    Liu, Yiwei ; Pan, Zengxi ; Stirling, David ; Naghdy, Fazel

  • Author_Institution
    Sch. of Electr., Comput. & Telecommun. Eng., Univ. of Wollongong, Wollongong, NSW, Australia
  • fYear
    2009
  • Firstpage
    2457
  • Lastpage
    2462
  • Abstract
    Scientific research and development on the control of autonomous airship have shown a significant growth in recent years. New applications appear in the areas such as freight carrier, advertising, monitoring, surveillance, transportation, military and scientific research. The control of Autonomous airship is a very important problem for the aerial robots research. In this paper, the previous research on the control of autonomous blimp is reviewed, Several popular control methods are categorized and discussed in detail. Then an intelligent navigation control method, reinforcement learning control, is introduced in the autonomous blimp which was used for 2007 UAV Outback Challenge. The future work on intelligent airship control is also outlined.
  • Keywords
    adaptive control; aerospace robotics; aircraft navigation; airships; intelligent control; learning (artificial intelligence); mobile robots; motion control; path planning; remotely operated vehicles; 2007 UAV Outback Challenge; aerial robots research; autonomous airship control; autonomous blimp; intelligent navigation control method; reinforcement learning control; Advertising; Intelligent control; Intelligent robots; Learning; Monitoring; Navigation; Research and development; Road transportation; Surveillance; Unmanned aerial vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics (ROBIO), 2009 IEEE International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-4774-9
  • Electronic_ISBN
    978-1-4244-4775-6
  • Type

    conf

  • DOI
    10.1109/ROBIO.2009.5420403
  • Filename
    5420403