• DocumentCode
    2965149
  • Title

    The Intelligent Wind Detection System of Weather UAV Based on the Multi-mode Variable Structure

  • Author

    Shudao, Zhou ; Yanjie, Wang ; Song, Ye ; Guotao, Zhu ; Long, Cheng

  • Author_Institution
    Coll. of Meteorol., PLA Univ. Sci. & Technol., Nanjing, China
  • Volume
    2
  • fYear
    2011
  • fDate
    28-29 March 2011
  • Firstpage
    765
  • Lastpage
    768
  • Abstract
    The present wind detection model of weather UAV has limitations. In order to detect the wind speed of multi-flight states, the intelligent wind detection system of weather UAV based on the multi-mode variable structure was proposed in this paper. According to the change of acceleration and angular velocity, three detection equations were established. Based on flight motion states, the intelligent wind detection system selected one of the three. The simulation results according to the intelligent wind detection system showed that: the intelligent wind detection system could get higher wind accuracy and can effectively adapt to a variety of flight motion states, system robustness, system engineering to achieve simple and high reliability.
  • Keywords
    acceleration control; aerospace robotics; angular velocity control; intelligent control; mobile robots; motion control; remotely operated vehicles; variable structure systems; acceleration change; angular velocity change; flight motion states; intelligent wind detection system; multimode variable structure; unmanned aerial vehicle; weather UAV; Acceleration; Artificial intelligence; Equations; Mathematical model; Wind speed; acceleration; angular velocity; detection accuracy; intelligent wind detection system; simulation; weather UAV;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
  • Conference_Location
    Shenzhen, Guangdong
  • Print_ISBN
    978-1-61284-289-9
  • Type

    conf

  • DOI
    10.1109/ICICTA.2011.478
  • Filename
    5751003