2015
DOI: 10.1007/s11633-014-0836-z
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Detection of impending vehicle rollover with road bank angle consideration using a robust fuzzy observer

Abstract: Abstract:This article describes a method of vehicle dynamics estimation for impending rollover detection. We estimate vehicle dynamic states in presence of the road bank angle as a disturbance in the vehicle model using a robust observer. The estimated roll angle and roll rate are used to compute the rollover index which is based on the prediction of the lateral load transfer. In order to anticipate rollover detection, a new method is proposed to compute the time to rollover (TTR) using the load transfer ratio… Show more

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Cited by 16 publications
(4 citation statements)
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References 23 publications
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“…Odenthal (1999) [24] integrated lateral acceleration into LTR and used lateral acceleration and a roll angle to describe the rollover evaluation index RI2 and verified its accuracy. Phanomchoeng (2013) [25] considered the vertical motion on both sides of the unsprung part and deduced the rollover index considering the external input; Dahmani (2015) [26] analyzed the roll motion of the vehicle and converted the LTR into an indicator expressed by the roll angle to assess the risk of vehicle rollover. Considering the influence of road excitation on vehicle rollover, Jin (2016) [27,28] transformed the LTR into an index called RI, including the vertical acceleration of sprung and unsprung.…”
Section: Introductionmentioning
confidence: 99%
“…Odenthal (1999) [24] integrated lateral acceleration into LTR and used lateral acceleration and a roll angle to describe the rollover evaluation index RI2 and verified its accuracy. Phanomchoeng (2013) [25] considered the vertical motion on both sides of the unsprung part and deduced the rollover index considering the external input; Dahmani (2015) [26] analyzed the roll motion of the vehicle and converted the LTR into an indicator expressed by the roll angle to assess the risk of vehicle rollover. Considering the influence of road excitation on vehicle rollover, Jin (2016) [27,28] transformed the LTR into an index called RI, including the vertical acceleration of sprung and unsprung.…”
Section: Introductionmentioning
confidence: 99%
“…Among them, in the aspect of rollover prediction, Yu et al 4 presented a realtime rollover trend prediction to indicate bus rollover risk with road bank estimation. Dahmani et al 5 proposed a new method to calculate rollover time by using lateral load transfer rate. Stankiewicz 6 studied zero-torque and low-order vehicle models, which are used to evaluate the rollover trend and the threat of rollover, respectively.…”
Section: Introductionmentioning
confidence: 99%
“…Iida et al 8 verified the effect of vehicle speed on the lateral stability of an articulated vehicle and achieved stability control of the loader through differential braking. Dahmani et al 9 applied a fuzzy observer to the coupling of engineering vehicle and suspension, established a T-S fuzzy model to predict vehicle conditions, and verified that the fuzzy observer is quite reliable. Pazooki et al 10 established a three-dimensional articulated vehicle model with a hydraulic steering system and analyzed the roll stability of vehicle models with and without a suspension on the vehicle rear axle under road excitations.…”
Section: Introductionmentioning
confidence: 99%