• DocumentCode
    750373
  • Title

    Adaptive observers for active automotive suspensions: theory and experiment

  • Author

    Rajamani, Rajesh ; Hedrick, J. Karl

  • Author_Institution
    Dept. of Mech. Eng., California Univ., Berkeley, CA, USA
  • Volume
    3
  • Issue
    1
  • fYear
    1995
  • fDate
    3/1/1995 12:00:00 AM
  • Firstpage
    86
  • Lastpage
    93
  • Abstract
    An adaptive observer is developed for a class of nonlinear systems. Conditions for convergence of state and parameter estimates are presented. The developed theory is used for observer-based parameter identification in the active suspension system of an automobile. A realistic model of the suspension system incorporating the dynamics of the hydraulic actuator is used. The observer is used to adapt on dry friction which is usually present in significant magnitudes in hydraulic actuators. The observer can also be used to adapt on spring stiffnesses, viscous damping and hydraulic bulk modulus. A special adaptive observer is proposed for identification of the sprung mass of the automobile. Since the sprung mass depends on the number of passengers and the load on the automobile, it needs to be regularly updated. The adaptive observers use measurements from two accelerometers and an LVDT. They yield good experimental performance when implemented on a half-car suspension test rig
  • Keywords
    automobiles; convergence; nonlinear control systems; parameter estimation; state estimation; active automotive suspensions; adaptive observer; convergence; dry friction; half-car suspension test rig; hydraulic actuator; hydraulic bulk modulus; nonlinear systems; parameter estimates; spring stiffnesses; state estimates; viscous damping; Automobiles; Automotive engineering; Convergence; Hydraulic actuators; Nonlinear dynamical systems; Nonlinear systems; Observers; Parameter estimation; State estimation; Suspensions;
  • fLanguage
    English
  • Journal_Title
    Control Systems Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6536
  • Type

    jour

  • DOI
    10.1109/87.370713
  • Filename
    370713