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Conference Papers Year : 2023

Vertical road profile reconstruction from vehicle embedded-sensors

Abstract

This paper proposes a method for the reconstruction of the vertical road profile from embedded sensors in a car. The study details the specifications in the time domain to ensure a good tracking of the road variation. To meet these specifications, a frequency domain approach is carried out using a model-based design method with a closed-loop structure and a loop shaping technique. The frequency and time responses of the reconstructor obtained in simulation are presented to illustrate the performances. Note that the road profile used in simulation comes from a test bench recording. Similarly, the measurement of noises used in the simulation recorded from on-board sensors used to control the piloted suspension of a DS7 Crossback.

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Dates and versions

hal-04492041 , version 1 (06-03-2024)

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Ramon Guridis, Xavier Moreau, Andre Benine Neto, Ghazi Bel Haj Ghazi Bel Haj Frej Frej, Vincent Hernette. Vertical road profile reconstruction from vehicle embedded-sensors. IFAC World Congress 2023, Jul 2023, Yokohama, Japan. pp.11167-11172, ⟨10.1016/j.ifacol.2023.10.837⟩. ⟨hal-04492041⟩
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