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
Link To Document