• DocumentCode
    2376702
  • Title

    Rollover risk prediction of an instrumented heavy vehicle using high order sliding mode observer

  • Author

    Imine, H. ; Benallegue, A. ; Madani, T. ; Srairi, S.

  • fYear
    2009
  • fDate
    12-17 May 2009
  • Firstpage
    64
  • Lastpage
    69
  • Abstract
    In this paper, an original method about heavy vehicles rollover risk prediction is presented and validated experimentally. It is based on the calculation of the LTR (load transfer ratio) which depends on the estimated vertical forces using high order sliding mode observers. The validation tests were carried out on an instrumented truck rolling on the road at various speeds and lane-change manoeuvres. Many scenarios have been experienced: driving on straight line, curve line and zigzag to emphasize the rollover phenomenon and its prediction to set off an alarm to the driver.
  • Keywords
    observers; road vehicles; variable structure systems; heavy vehicle; high order sliding mode observer; instrumented truck; lane-change manoeuvres; load transfer ratio; rollover phenomenon; rollover risk prediction; Acceleration; Axles; Instruments; Observers; Road vehicles; Robotics and automation; Stability; Suspensions; Tires; Wheels;
  • 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.2009.5152185
  • Filename
    5152185