• DocumentCode
    3182904
  • Title

    Adaptive vehicle planar motion control with fast parameter estimation

  • Author

    Xiaoyu Huang ; Junmin Wang

  • Author_Institution
    Dept. of Mech. & Aerosp. Eng., Ohio State Univ., Columbus, OH, USA
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    5034
  • Lastpage
    5039
  • Abstract
    This paper presents a new adaptive control scheme for vehicle planar motion control with fast parameter estimation in moderate maneuvers in real-time. The parameters to be estimated include vehicle mass and yaw moment of inertia, which are important to the control systems for lightweight vehicles (LWVs) whose mass and yaw moment of inertia values change substantially with payload variations. A traditional Lyapunov-type adaptive control design rarely provides the bonus of accurate estimation of the true vehicle parameter values due to insufficient excitation in normal/moderate driving maneuvers. In this paper, to circumvent the obstacle of low adaptation rate, the traditional update law is supplemented with a new adaptive compensator to achieve much faster parameter convergence. The new design preserves the tracking performance and poses no additional requirements on the driving maneuvers. Simulation results show that the proposed adaptive scheme is capable of constructing true values of vehicle mass and yaw moment of inertia in just a few seconds once the corresponding persistent excitation is satisfied.
  • Keywords
    Lyapunov methods; adaptive control; motion control; parameter estimation; road vehicles; LWV; Lyapunov-type adaptive control design; adaptive vehicle planar motion control; fast parameter estimation; inertia yaw moment; lightweight vehicles; normal-moderate driving maneuvers; parameter convergence; payload variations; update law; vehicle mass; Adaptation models; Adaptive control; Parameter estimation; Tires; Turning; Vehicle dynamics; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-2065-8
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2012.6426997
  • Filename
    6426997