• DocumentCode
    2377731
  • Title

    An active anti-rollover device based on Predictive Functional Control: application to an All-Terrain Vehicle

  • Author

    Bouton, Nicolas ; Lenain, Roland ; Thuilot, Benoit ; Martinet, Philippe

  • Author_Institution
    Cemagref, Aubiere, France
  • fYear
    2009
  • fDate
    12-17 May 2009
  • Firstpage
    1309
  • Lastpage
    1314
  • Abstract
    The active devices dedicated to on-road vehicle stability cannot be applied satisfactorily in an off-road context, since the variability and the non-linear features of grip conditions can no longer be neglected. Specific solutions have then to be investigated. In this paper, the prevention of light all-terrain vehicle (ATV) rollover is addressed. First, a backstepping observer is designed in order to estimate online a rollover indicator accounting for sliding phenomena, from a low-cost perception system. Next, the maximum vehicle velocity, compatible with a safe motion over some horizon of prediction, is computed via predictive functional control (PFC), and can then be applied, if needed, to the vehicle actuator to prevent from rollover. The capabilities of the proposed device are demonstrated and discussed thanks to an advanced simulation testbed that has proved to supply results very close to experimental ones.
  • Keywords
    actuators; predictive control; road vehicles; sliding friction; stability; active antirollover device; all-terrain vehicle; backstepping observer; grip conditions; low-cost perception system; maximum vehicle velocity; on-road vehicle stability; predictive functional control; rollover indicator; sliding phenomena; vehicle actuator; vehicle rollover; Actuators; Backstepping; HDTV; Land vehicles; Road vehicles; Safety devices; Stability criteria; Vehicle dynamics; Vehicle safety; Velocity control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2009. ICRA '09. IEEE International Conference on
  • Conference_Location
    Kobe
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-2788-8
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2009.5152243
  • Filename
    5152243