Sliding mode Control in Heavy Vehicle Safety. In Advances in Sliding Mode Control

In this chapter, an original approach to 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. Previously, a tractor model is developed. 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 straight, curved trajectories, zigzag manoeuvre and brake tests to emphasize the rollover phenomenon and its prediction to set off an alarm for the driver. In this study, the vehicle dynamic parameters (masses, inertias, stiffness..) and the static forces infrastructure characteristics (road profile, radius of curvature, longitudinal and lateral slope, skid resistance) are measured or calculated before the tests.

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Source ISSN: 0170-8643
Author Imine, Hocine, Fridman, L
Maintainer CCSD
Last Updated May 9, 2026, 16:59 (UTC)
Created May 9, 2026, 16:59 (UTC)
Identifier hal-00863347
Language en
contributor Laboratoire Exploitation, Perception, Simulateurs et Simulations (IFSTTAR/COSYS/LEPSIS) ; Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Communauté Université Paris-Est
creator Imine, Hocine
date 2013-01-01T00:00:00
harvest_object_id 75db5cc5-5a7a-4657-8e44-5ab09a566386
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2024-12-03T00:00:00
relation info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-642-36986-5_16
set_spec type:ART