• DocumentCode
    2335706
  • Title

    Genetic algorithm (GA) based modeling of nonlinear behavior of friction of a rolling ball guide way

  • Author

    Tsurata, K. ; Murakami, Teruo ; Futami, Shigeru ; Sumimoto, Tadashi

  • Author_Institution
    Yaskawa Electr. Manuf. Co. Ltd., Kitakyushu, Japan
  • fYear
    2000
  • fDate
    1-1 April 2000
  • Firstpage
    181
  • Lastpage
    186
  • Abstract
    We propose a new dynamic model for friction. The nonlinear behavior model can be used for modeling Coulomb friction, viscous friction and Stribeck effect, and can also be used to study the nonlinear behavior of elastic deformation. The frictional force does not cause disturbance in the accelerated motion, but lends a support. The model curve is not symmetrical with zero velocity. Properties of model that are relevant to control design are investigated by analysis and simulation. Genetic algorithm has been used for tuning the model. Tuning results show that the proposed model is more accurate than conventional models.
  • Keywords
    elastic deformation; genetic algorithms; machine tools; nonlinear systems; rolling friction; tuning; Coulomb friction; Stribeck effect; elastic deformation; genetic algorithm; machine tools; modeling; nonlinear behavior; rolling ball guide way; tuning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Motion Control, 2000. Proceedings. 6th International Workshop on
  • Conference_Location
    Nagoya, Japan
  • Print_ISBN
    0-7803-5976-3
  • Type

    conf

  • DOI
    10.1109/AMC.2000.862853
  • Filename
    862853