• DocumentCode
    2125035
  • Title

    Modelling and identification of magnetorheological vehicle suspension

  • Author

    Krauze, Piotr

  • Author_Institution
    Inst. of Autom. Control, Silesian Univ. of Technol., Gliwice, Poland
  • fYear
    2012
  • fDate
    27-30 Aug. 2012
  • Firstpage
    228
  • Lastpage
    233
  • Abstract
    The paper presents methods of estimation of vehicle suspension system parameters based on kinetic measurements. The vehicle suspension is assumed to include springs, linear dampers and magnetorheological (MR) dampers which are known to be nonlinear. In many cases hysteresis loop is revealed in the static characteristics of MR dampers. Nonlinear full-car vehicle suspension model is defined and adapted for using linear and nonlinear least-squares identification method. Identifications experiments are performed assuming limited number of available kinetic sensors. Solution space with respect to the location of the vehicle body´s gravity center is presented as well as quality index values and time diagrams are reported based on estimated model parameters and simulation results.
  • Keywords
    automotive engineering; least squares approximations; parameter estimation; quality control; shock absorbers; springs (mechanical); suspensions (mechanical components); vehicle dynamics; vibration control; MR damper; hysteresis loop; identification experiment; kinetic measurement; kinetic sensor; least-squares identification method; linear damper; magnetorheological damper; magnetorheological vehicle suspension; model parameter estimation; nonlinear full-car vehicle suspension model; quality index value; springs; time diagram; vehicle body gravity center; vehicle suspension identification; vehicle suspension modeling; Estimation; Mathematical model; Maximum likelihood detection; Nonlinear filters; Shock absorbers; Vehicles; full-car model; least-squares method; magnetorheological damper; nonlinear vehicle suspension system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Methods and Models in Automation and Robotics (MMAR), 2012 17th International Conference on
  • Conference_Location
    Miedzyzdrojie
  • Print_ISBN
    978-1-4673-2121-1
  • Type

    conf

  • DOI
    10.1109/MMAR.2012.6347883
  • Filename
    6347883