• DocumentCode
    2783088
  • Title

    Research on autonomous control system structure of UCAV based on cognitive science

  • Author

    Meng, Xianyu ; Zhu, Jihong ; Li, Guanglin ; Tu, Xuyan

  • Author_Institution
    State Key Lab. of Intell. Technol. & Syst., Tsinghua Univ., Beijing, China
  • fYear
    2009
  • fDate
    6-8 Nov. 2009
  • Firstpage
    861
  • Lastpage
    865
  • Abstract
    The unmanned combat aerial vehicle (UCAV) is a intelligent weapon. Based on artificial brain theory, its autonomous control system was divided into three layers which are perception fusion layer, cognition and decision layer, and behavior control layer. In perception fusion layer, information was transmitted from multi-sensors system to relative system and was fused ultimately. In cognition and decision layer, a cognitive model was designed based on three-phase memory mechanisms which were ultra short-time memory and long-time memory. In behavior control layer, planning function was added that increased behavior intelligence. The flight control was simulated using dynamic inversion method. And the result showed the design of execution sub-system was reasonable through tracking the mobile trajectory.
  • Keywords
    aerospace robotics; cognitive systems; remotely operated vehicles; tracking; UCAV; artificial brain theory; autonomous control system structure; cognitive science; decision layer; dynamic inversion method; flight control; intelligent weapon; mobile trajectory tracking; multisensors system; perception fusion layer; three-phase memory mechanisms; unmanned combat aerial vehicle; Aerospace control; Aerospace simulation; Artificial intelligence; Cognition; Cognitive science; Control systems; Intelligent vehicles; Remotely operated vehicles; Unmanned aerial vehicles; Weapons; artificial brain; autonomous control; cognitive science; unmanned combat aerial vehicle(UCAV);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Infrastructure and Digital Content, 2009. IC-NIDC 2009. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4898-2
  • Electronic_ISBN
    978-1-4244-4900-6
  • Type

    conf

  • DOI
    10.1109/ICNIDC.2009.5360942
  • Filename
    5360942