• DocumentCode
    3178660
  • Title

    Friction Estimation and Compensation of Pneumatic Force Servo System

  • Author

    Ting, Zhao ; Chaoqiang, Sheng ; Ke, Liu

  • Author_Institution
    Dept. of Autom., Chongqing Univ., Chongqing, China
  • Volume
    3
  • fYear
    2009
  • fDate
    25-27 Dec. 2009
  • Firstpage
    447
  • Lastpage
    450
  • Abstract
    Friction exists in every mechanical system, and exerts bad influences on its operation performance, which will cause cylinder crawling phenomenon when it runs under low speed. In this paper, the analysis of the cylinder crawling phenomenon is proposed, as friction is complicated and impossible to measure its exact value, the estimation of friction by using extended Kalman filter (EKF) is introduced, then the estimated friction is added to the control input for friction compensation. The studies show that the pnuematic force servo system with friction estimation and compensation by using EKF has better performance than the system without friction compensation, for instance it has better dynamic and statistic characteristics, higher tracking accuracy, higher robustness, and the response time is also more quickly.
  • Keywords
    Kalman filters; compensation; friction; mechanical variables control; nonlinear filters; pneumatic systems; servomechanisms; cylinder crawling phenomenon; dynamic characteristics; extended Kalman filter; friction compensation; friction estimation; mechanical system; pneumatic force servo system; statistic characteristics; Control systems; Force control; Force sensors; Friction; Nonlinear control systems; Orifices; Partial discharges; Servomechanisms; Sliding mode control; Weight control; extended kalman filter; friction compensation; friction estimation; observer; pneumatic force servo system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science-Technology and Applications, 2009. IFCSTA '09. International Forum on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-0-7695-3930-0
  • Electronic_ISBN
    978-1-4244-5423-5
  • Type

    conf

  • DOI
    10.1109/IFCSTA.2009.349
  • Filename
    5384923