• DocumentCode
    3313145
  • Title

    Balancing of a virtual inverted pendulum through Internet based on prediction method

  • Author

    Jianning Hua ; Yujie Cui ; Xuezhu Wang ; Fangping Yang ; Yanhua Yang

  • Author_Institution
    Inst. of Control Eng., Northeastern Univ. at Qinhuangdao, Qinhuangdao, China
  • fYear
    2013
  • fDate
    4-7 Aug. 2013
  • Firstpage
    991
  • Lastpage
    996
  • Abstract
    This paper proposes a method for balancing a virtual inverted pendulum through Internet based on the prediction of jitter of Internet one-way time delay. The sparse multivariate linear regression method is used to give prediction on Internet time delay jitter. The remote virtual pendulum can be controlled with an identical virtual pendulum model displayed on the screen of the master site, which is updated according to historical commands transmitted to the slave site and Internet jitter prediction results. In the experiments, operators succeed in balancing the remote virtual pendulum through the Internet, which demonstrate the effectiveness and prospect of the proposed Internet based control method.
  • Keywords
    Internet; digital control; nonlinear control systems; pendulums; regression analysis; Internet based control method; Internet one-way time delay; Internet time delay jitter prediction; historical commands; identical virtual pendulum model; prediction method; remote virtual pendulum balancing; remote virtual pendulum control; slave site; sparse multivariate linear regression method; virtual inverted pendulum balancing; Acceleration; Delay effects; Estimation; Internet; Jitter; Predictive models; Solid modeling; Jitter of Internet time-delay; Prediction; Teleoperation; Virtual inverted pendulum;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2013 IEEE International Conference on
  • Conference_Location
    Takamatsu
  • Print_ISBN
    978-1-4673-5557-5
  • Type

    conf

  • DOI
    10.1109/ICMA.2013.6618050
  • Filename
    6618050