• DocumentCode
    622495
  • Title

    Real-time measure and control system of biped walking robot based on sensor

  • Author

    Fan Jian ; Yan Xue ; Luo Xiang

  • Author_Institution
    Sch. of Mech. Eng., Southeast Univ., Nanjing, China
  • fYear
    2013
  • fDate
    12-14 June 2013
  • Firstpage
    1429
  • Lastpage
    1434
  • Abstract
    Control of biped walking robot based on sensor becomes one of the key points of robotic technology. In order to adapt the changes of environment, this article designs a CAN network of measurement and control, including gait planning unit, sensing unit and control unit. Firstly, various walking function and requirements of the measurement and control algorithm are studied. Secondly, a control system based on sensor is proposed. Each module of system is designed to achieve function of walking. Thirdly, experiments are carried out on walking device. Different control cycles of motion planning unit, feedback of joint´s position, joint motion controller and attitude sensor are listed in order to test the different performances of motor tracking motion. Finally, experiments show that the tracking error and volatility are able to meet the real-time sensing control requirements by using this method. So this study can be applied to controlling biped walking robot based on sensor.
  • Keywords
    attitude measurement; controller area networks; legged locomotion; motion control; path planning; real-time systems; sensors; CAN network; attitude sensor; biped walking robot control; control system; control unit; gait planning unit; joint motion controller; motion planning unit; motor tracking motion; real-time measure system; real-time sensing control; robotic technology; sensing unit; tracking error; walking function; Legged locomotion; Planning; Real-time systems; Robot sensing systems; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation (ICCA), 2013 10th IEEE International Conference on
  • Conference_Location
    Hangzhou
  • ISSN
    1948-3449
  • Print_ISBN
    978-1-4673-4707-5
  • Type

    conf

  • DOI
    10.1109/ICCA.2013.6564921
  • Filename
    6564921