• DocumentCode
    2699269
  • Title

    Hovering control based on fuzzy neural networks for biomimetic flying robotic

  • Author

    Guo, Qing ; Hu, Minglang ; Wei, Ruixuan ; Xu, Jie ; Song, Hongfei

  • Author_Institution
    Eng. Inst., Air Force Eng. Univ., Xian
  • fYear
    2008
  • fDate
    20-23 June 2008
  • Firstpage
    504
  • Lastpage
    508
  • Abstract
    A strategy of designing flight controller for insect-like flapping wing micro air vehicle (FMAV) is presented. Body dynamics and the control mechanics used by flying insect are presented. The analysis of these mechanics and models showed the feasibility of using fuzzy neural networks (FNN) controller to achieve high maneuverability by biologically inspired. To the authorspsila knowledge, a simple FNN controller only by adjusting mid-stroke angle of attack and flip start timing was proposed and simulated with a virtual insect-like FMAV; the simulation demonstrates stable flight performance in hover stabilization.
  • Keywords
    aerospace control; aerospace robotics; fuzzy control; neurocontrollers; biomimetic flying robotic; flapping wing microair vehicle; flight controller; fuzzy neural network; hovering control; virtual insect; Aerospace simulation; Biological control systems; Biological system modeling; Biomimetics; Fuzzy control; Fuzzy neural networks; Insects; Robots; Timing; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation, 2008. ICIA 2008. International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-2183-1
  • Electronic_ISBN
    978-1-4244-2184-8
  • Type

    conf

  • DOI
    10.1109/ICINFA.2008.4608052
  • Filename
    4608052