• DocumentCode
    2250624
  • Title

    Parameters identification of a hybrid model for dry friction

  • Author

    Nouailletas, Rémy ; Mendes, Eduardo ; Koenig, Damien

  • Author_Institution
    LCIS Lab., Grenoble Inst. of Technol., Valence, France
  • fYear
    2008
  • fDate
    9-11 Dec. 2008
  • Firstpage
    5500
  • Lastpage
    5505
  • Abstract
    An original methodology is proposed to tune the parameters of the model of a mechanical system with dry friction which is modeled with a new simple approach recently proposed. This approach is based on a hybrid (two-modes) model approach: one mode models the system motion and the other the motionless case. In this paper, the hybrid modeling of dry friction is first recalled, then the proposed identification methodology is presented. The inertia, the viscous friction and the Coulomb¿s effect are first identified using the power equation of the system. Secondly, a simple algorithm is proposed to find the system Stribeck effect parameter. The other parameters specific to the used hybrid model are finally tuned to match the real observed data. The proposed parameters identification methodology is compared in simulation with other methods and is validated on a real experimental system.
  • Keywords
    distributed parameter systems; friction; mechanical variables control; parameter estimation; Coulomb force; dry friction; mechanical system; parameters identification; viscous friction; Equations; Friction; Limit-cycles; Mechanical systems; Motion estimation; Parameter estimation; Power system modeling; Robust control; Sensor phenomena and characterization; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2008. CDC 2008. 47th IEEE Conference on
  • Conference_Location
    Cancun
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-3123-6
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2008.4739203
  • Filename
    4739203