• DocumentCode
    582295
  • Title

    Design and experiments of ALV longitudinal speed controllers based on a disturbance observer

  • Author

    Jian, Wang ; Zhenping, Sun ; Xin, Xu ; Daxue, Liu ; Jun, Wu

  • Author_Institution
    Coll. of Mechatron. & Autom., Nat. Univ. of Defense Tech, Changsha, China
  • fYear
    2012
  • fDate
    25-27 July 2012
  • Firstpage
    4328
  • Lastpage
    4333
  • Abstract
    This paper develops a longitudinal speed controller for both on-road and off-road driving of autonomous land vehicles (ALVs) by introducing a disturbance observer. The disturbance observer is designed to estimate the disturbances of the environment and the model errors through using the difference between the outputs of the reference model and the ALV. After being filtered, the disturbances are compensated by the inverse of the model. The stability and robustness of the controller have also been discussed theoretically and validated experimentally. The controller´s performance in the urban traffic environment and the experimental results on the off-road terrain show that the presented controller is effective for both on-road and off-road autonomous driving.
  • Keywords
    compensation; control system synthesis; mobile robots; observers; roads; robust control; telerobotics; velocity control; ALV longitudinal speed controller design; autonomous land vehicle; controller robustness; controller stability; disturbance compensation; disturbance estimation; disturbance observer design; model errors; off-road autonomous driving; off-road terrain; on-road autonomous driving; urban traffic environment; Automation; Educational institutions; Electronic mail; Mechatronics; Observers; Sun; Vehicle dynamics; Autonomous Land Vehicle (ALV); Disturbance Observer; Inverse Dynamic Model Control; Longitudinal Control; Non-parametric Dynamic Model; Speed Control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2012 31st Chinese
  • Conference_Location
    Hefei
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4673-2581-3
  • Type

    conf

  • Filename
    6390686