• DocumentCode
    1577319
  • Title

    Non-linear observer for slip parameter estimation of unmanned wheeled robots

  • Author

    Song, ZiBin ; Cao, Yongchao ; Peng, Xueliang ; Zhang, Wei ; Shi, Keren

  • Author_Institution
    Zhongguancun Sci. & Technol. Area, Qiye Boshihou, Beijing, China
  • fYear
    2009
  • Firstpage
    2278
  • Lastpage
    2283
  • Abstract
    Accurate estimation of a wheeled vehicle is essential to increase the vehicle´s tranversibility choices in rough terrain. The knowledge of slip parameters can be used in the development of higher-level strategic control of unmanned ground vehicles such as path planning, trajectory tracking and traction control. In this paper, a sliding mode observer is developed to estimate slip parameters based on the kinematic model of a wheeled vehicle and on-board measurements. The sliding mode observer is proven to converge after a finite time. The sliding mode observer is validated against experimental data obtained from specially designed test rigs, showing very good slip estimation. The robustness and superior performance of the sliding mode observer is demonstrated using experimental results.
  • Keywords
    friction; mobile robots; nonlinear systems; observers; remotely operated vehicles; robot kinematics; telerobotics; variable structure systems; wheels; higher level strategic control; nonlinear observer; sliding mode observer; slip parameter; slip parameters estimation; unmanned ground vehicle; unmanned wheeled robot; wheeled vehicle accurate estimation; wheeled vehicle kinematic model; Kinematics; Mobile robots; Parameter estimation; Path planning; Robustness; Sliding mode control; Vehicle driving; Vehicle dynamics; Vehicle safety; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics (ROBIO), 2009 IEEE International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-4774-9
  • Electronic_ISBN
    978-1-4244-4775-6
  • Type

    conf

  • DOI
    10.1109/ROBIO.2009.5420464
  • Filename
    5420464