• DocumentCode
    233292
  • Title

    A cruise route design of robot-fish for the pollution source location

  • Author

    Chao Wang ; Yaping Dai

  • Author_Institution
    Sch. of Autom., Beijing Inst. of Technol., Beijing, China
  • fYear
    2014
  • fDate
    28-30 July 2014
  • Firstpage
    8650
  • Lastpage
    8656
  • Abstract
    For the task of pollution source location in the use of environment monitoring robot-fish, there were two kinds of method to deal with the “cruise route”. One was discrete hill-climbing search method, and the other was spiral coverage scanning algorithm. It is easy to fall into local optimal point by means of hill-climbing search method only. Meanwhile, the problem of imprecise locating exists in the spiral coverage scanning algorithm. So we tried to use Spiral Coverage and Hill-climbing fusion algorithm with Concentration (C-SpiralHill algorithm) to locate the spot of pollution source. After the analyzing kinematics of the robot-fish swimming on the water surface, we designed a cruise route of robot-fish by means of C-SpiralHill algorithm. According to A.B.KAPAYMEB model of water pollution diffusion, we set up the simulation environment. The results showed the C-SpairalHill algorithm could locate the pollution source area and avoid robot-fish falling into local optimal resolution.
  • Keywords
    discrete systems; environmental monitoring (geophysics); marine systems; mobile robots; robot kinematics; water pollution control; C-SpiralHill algorithm; cruise route design; discrete hill-climbing search method; environment monitoring robot-fish; local optimal resolution; pollution source location; spiral coverage scanning algorithm; water pollution diffusion; Algorithm design and analysis; Kinematics; Robot kinematics; Spirals; Water pollution; concentration; hill-climbing algorithm; pollution source location; robot-fish; spiral coverage scanning algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2014 33rd Chinese
  • Conference_Location
    Nanjing
  • Type

    conf

  • DOI
    10.1109/ChiCC.2014.6896453
  • Filename
    6896453