• DocumentCode
    1698250
  • Title

    Cooperative control for UCAVs path planning

  • Author

    Pan, Changpeng ; Ye, Wen ; Chen, Jie ; Guo, Jiuzhi

  • Author_Institution
    Naval Aeronaut. & Astronaut. Univ., Yantai, China
  • fYear
    2010
  • Firstpage
    5259
  • Lastpage
    5263
  • Abstract
    Based on analyzing the characteristics of the co-evolutionary theory, the cooperative performance of co-evolutionary algorithm realized airspace cooperation for multi-UCAV cooperation path planning problem. While constraining the UCAV to arrive at the target simultaneously, a decomposition strategy was proposed, and the application of the coordination variable and coordination function approach was applied to multi-UCAV cooperation path planning problem. The simulation results show that the method could solve multi-UCAV cooperation path planning problem effectively.
  • Keywords
    aerospace robotics; cooperative systems; evolutionary computation; path planning; remotely operated vehicles; coevolutionary theory; cooperative control; coordination function approach; multiUCAV cooperation path planning problem; realized airspace cooperation; Conferences; Evolutionary computation; Genetics; Heuristic algorithms; Path planning; Simulation; Timing; cooperation path planning; decomposition strategy; multi-UCAV; o-evolutionary algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2010 8th World Congress on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-6712-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2010.5554852
  • Filename
    5554852