• DocumentCode
    3438509
  • Title

    Belt-pulley friction estimation for the Continuously Variable Transmission

  • Author

    Van Berkel, Koos ; Fujii, Toru ; Hofman, Theo ; Steinbuch, Maarten

  • Author_Institution
    Dept. of Mech. Eng., Eindhoven Univ. of Technol., Eindhoven, Netherlands
  • fYear
    2011
  • fDate
    12-15 Dec. 2011
  • Firstpage
    6672
  • Lastpage
    6677
  • Abstract
    This study describes an approach to estimate the maximum friction between the pushbelt and pulley set in a mass-produced Continuously Variable Transmission. Up-to-date friction knowledge is useful to accurately determine the maximum transmittable torque and to monitor the variator condition. Besides standard sensors, torque signals are assumed to be available. An adaptive estimator is presented based on the Kalman filter, which estimates friction-related parameters to find the maximum friction. The filter requires no a priori knowledge of the maximum friction and needs no detailed friction model. Experiments show that this method can be used for both an undamaged and damaged pushbelt.
  • Keywords
    adaptive Kalman filters; adaptive estimation; belts; condition monitoring; friction; pulleys; torque; Kalman filter; adaptive estimation; belt pulley friction estimation; continuously variable transmission; pushbelt; torque signals; variator condition monitoring; Clamps; Control systems; Estimation; Force; Friction; Pulleys; Torque; Automotive Control; Estimation; System Identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-61284-800-6
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2011.6161072
  • Filename
    6161072