• DocumentCode
    536368
  • Title

    Modeling of wave energy absorption system for underwater vehicle based on PSORBF neural networks

  • Author

    Zhang, Ying ; Li, Mengxin ; Xu, Ke ; Dong, Zaili

  • Author_Institution
    Inf. & Control Eng. Fac., Shenyang Jianzhu Univ., Shenyang, China
  • Volume
    2
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    133
  • Lastpage
    137
  • Abstract
    Technology of energy self-supply which can improve the work efficiency and extend the work time is significant for underwater carrier, such as underwater vehicle. As one of the renewable energy, the absorption and utilization of wave energy is always an important research field home and abroad, and energy absorption efficiency is the key. A wave energy absorption system based on inertial pendulum is presented, and dynamics equations are established. A method based on PSORBF neural network is adopted to model in time domain. The results obtained by simulation software and by neural network are compared, which validate the method used to be correct and make basis on future research.
  • Keywords
    energy conservation; mobile robots; particle swarm optimisation; radial basis function networks; underwater vehicles; PSORBF neural networks; dynamics equations; inertial pendulum; renewable energy; simulation software; underwater carrier; underwater vehicle; wave energy absorption system; wave energy utilization; ADAMS; PSORBF neural network; energy absorption efficiency; underwater carrier; wave energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-6582-8
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2010.5658782
  • Filename
    5658782