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 :
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