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Communication Dans Un Congrès Année : 2007

Heavy vehicle state estimation and rollover risk evaluation using Kalman Filter and Sliding Mode Observer

Résumé

Safety driving is due to the prevention of risks situation, one of the important risk is the rollover of a heavy vehicle. Preventing this accident requires the knowledge of the rollover coefficient which depends on the vehicle dynamic state and other vehicle parameters. Thus, we estimate the vehicle dynamic state using the Extended and Unscented Kalman Filter and the Sliding Mode Observer. Thereafter, we calculate the probability to have a rollover risk using the previous result and Monte-Carlo simulations.

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Autre
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Dates et versions

hal-00363459 , version 1 (23-02-2009)

Identifiants

  • HAL Id : hal-00363459 , version 1

Citer

Jamil Dakhlallah, Hocine Imine, Yamine Sellami, D. Bellot. Heavy vehicle state estimation and rollover risk evaluation using Kalman Filter and Sliding Mode Observer. ECC'07, IEEE European Control Conference, Jul 2007, France. 6p. ⟨hal-00363459⟩
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