• DocumentCode
    724200
  • Title

    A cooperative hunting algorithm of multi-AUV in 3-D dynamic environment

  • Author

    Zongrui Huang ; Daqi Zhu

  • Author_Institution
    Lab. of Underwater Vehicles & Intell. Syst., Shanghai Maritime Univ., Shanghai, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    2571
  • Lastpage
    2575
  • Abstract
    A Multi-AUV cooperative hunting algorithm based on Bio-inspired neural network is proposed for 3-D dynamic environment in this paper. Firstly, based on the establishment of biological inspired neural network model, AUV working environment is represent by it, there is one-to-one correspondence between each neuron in neural network and the position of the grid map of underwater environment. Then the guidance of neurons provides high efficient path planning for each hunting AUV and finally the target is surrounded by AUVs. Lastly, to demonstrate the effectiveness of the proposed algorithm, simulation results are given in this paper.
  • Keywords
    autonomous underwater vehicles; neurocontrollers; path planning; vehicle dynamics; 3D dynamic environment; AUV working environment; bio-inspired neural network; biological inspired neural network model; grid map; multiAUV cooperative hunting algorithm; neuron guidance; one-to-one correspondence; path planning; underwater environment; Biological neural networks; Biological system modeling; Heuristic algorithms; Neurons; Robot kinematics; Vehicle dynamics; Bio-inspired Neural Network; Cooperative Hunting and 3-D Underwater Environment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162355
  • Filename
    7162355