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Développement d'une méthode de pesage embarqué pour poids lourd

Abstract : With more than 75% of freight in most EU countries, road traffic is the most dominant mode for the transport of goods. The proportion of heavy duty vehicles (HDV) increases in traffic and often reaches 15 to 20%. To achieve the new objectives of sustainable development, ensuring the sustainability of infrastructure and improving road safety, a special attention should be paid to this mode of transportation to assess and reduce the dynamic loads of the wheels and axles on pavements. The safety and efficiency of HDV can be improved by the use of on-board systems for the monitoring and the estimation of dynamic loads in real time. The progress in development of new tools in control theory provides interesting techniques for the weigh-in-motion board. The objective of this thesis is to develop a method to estimate the impact forces of heavy vehicles on the roadways and to provide an active control to reduce the maximum dynamic effects. After a detailed state of art about available on-board weighing technology, a yaw-roll model dynamics of the HDV is developed. Estimation methods based on explicit and implicit model inversion and sliding mode observers are developed and tested using the Prosper/Callas simulator and a first validation is obtained by experimental tests. Finally, control architecture for active steering, based on the estimated impact forces in order to alert and assist the driver in the presence of rollover risk and dangerous situations is proposed.
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Omar Khemoudj. Développement d'une méthode de pesage embarqué pour poids lourd. Sciences de l'ingénieur [physics]. Université de Valenciennes et du Hainaut-Cambrésis, 2010. Français. ⟨NNT : 2010VALE0045⟩. ⟨tel-03010530⟩

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