• DocumentCode
    2643594
  • Title

    Adaptive friction compensation using the GMS model with polynomial stribeck function

  • Author

    Nilkhamhang, Itthisek ; Sano, Akira

  • Author_Institution
    Graduate Sch. of Sci. & Technol., Keio Univ., Yokohama
  • fYear
    2006
  • fDate
    4-6 Oct. 2006
  • Firstpage
    1085
  • Lastpage
    1090
  • Abstract
    An adaptive friction compensator is proposed using the generalized Maxwell-slip (GMS) friction model, with a new, linearly-parameterized Stribeck function. It employs a polynomial equation that is linear-in-the-parameter to describe the nonlinear Stribeck effect in the GMS model, and simplifies the design of an adaptive friction compensator. The proposed compensator has a switching structure to accommodate for the hybrid nature of the GMS model, and the parameter projection method is used to guarantee a boundedness on parameter estimates and stability of the switching adaptive controller. The validity and effectiveness of the proposed, linearly-parameterized friction compensator is verified by simulations for the velocity control of an inertia system under the influence of dynamic friction
  • Keywords
    adaptive control; friction; stability; velocity control; adaptive friction compensation; dynamic friction; generalized Maxwell-slip friction model; inertia system; linear-in-the-parameter; linearly-parameterized Stribeck function; linearly-parameterized friction compensator; nonlinear Stribeck effect; parameter estimates; polynomial Stribeck function; polynomial equation; stability; switching adaptive controller; velocity control; Adaptive control; Friction; Maxwell equations; Nonlinear dynamical systems; Nonlinear equations; Parameter estimation; Polynomials; Programmable control; Robust stability; Velocity control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006 IEEE
  • Conference_Location
    Munich
  • Print_ISBN
    0-7803-9797-5
  • Electronic_ISBN
    0-7803-9797-5
  • Type

    conf

  • DOI
    10.1109/CACSD-CCA-ISIC.2006.4776795
  • Filename
    4776795