• DocumentCode
    3225898
  • Title

    The innovation design of the magnetic adsorption climbing-wall flaw detection robot

  • Author

    Xie Minzhao ; Liu Jichen ; Luo Xiaoyi

  • Author_Institution
    Sch. of Mech. Eng. & Autom., Northeastern Univ., Shenyang, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    4923
  • Lastpage
    4926
  • Abstract
    In order to reduce the surface flaw detection cost and time consuming of large area steel iron surface (such as the surface of large storage tank or ship, etc), solve the existing wheeled magnetic adsorption technology problems of wall climbing robot, a kind of wheeled magnetic wall climbing robot is designed. Unique adsorption unit and innovation design of magnetic circuit make the wheeled wall climbing robot has a large carrying capacity. The robot uses LPC1768 chip as the control center. Divided into walking control, camera control, the other action control. Robot users through wireless handle to control the robot walking and action in the surface of steel vertical and accept the robot feedback information through a ground station. This paper mainly introduces the design of each module, gives the concrete design scheme of mechanical structure, hardware circuit and software.
  • Keywords
    adsorption; feedback; iron; legged locomotion; steel; telerobotics; walls; wheels; LPC1768 chip; adsorption unit; camera control; ground station; hardware circuit; innovation design; magnetic adsorption climbing-wall flaw detection robot; magnetic circuit; mechanical structure; robot feedback information; steel iron surface; steel vertical; surface flaw detection cost reduction; teleoperator; walking control; wheeled magnetic adsorption technology; wheeled magnetic wall climbing robot design; wheeled wall climbing robot; Adsorption; Climbing robots; Magnetic circuits; Magnetic resonance imaging; Wheels; Flaw Detection; Image Real-time Transmission; Permanent Magnetic Wheeled Adsorption; Teleoperator;
  • 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.2015.7162805
  • Filename
    7162805