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Vehicle Lateral Velocity and Lateral Tire-road Forces Estimation Based on Switched Interval Observers

Authors :
Said Mammar
Dalil Ichalal
Sara Ifqir
Naima Ait-Oufroukh
Informatique, BioInformatique, Systèmes Complexes (IBISC)
Université d'Évry-Val-d'Essonne (UEVE)-Université Paris-Saclay
Source :
ACC, The 2020 American Control Conference (ACC 2020), The 2020 American Control Conference (ACC 2020), Jul 2020, Denver, CO, United States. pp.3023--3028, ⟨10.23919/ACC45564.2020.9147793⟩
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

International audience; Lateral velocity and tire-road forces are vital signals that affect the stability of a vehicle under cornering. Unfortunately, for both technical and economic reasons, these fundamental vehicle parameters can hardly be measured directly through sensors. As a consequence, an efficient and reliable algorithm for estimating vehicle lateral velocity and tire-road forces is needed. This paper presents a novel framework for estimation of vehicle lateral velocity and lateral tire-road forces. The proposed algorithm is based on switched interval observers and is able to cope with changes of tire operating conditions. The interval estimation algorithm is evaluated through experimental data acquired using an instrumented vehicle. Simulation results show that the developed system can reliably estimate the upper and lower bounds of vehicle lateral variables during both steady and transient maneuvers.

Details

Database :
OpenAIRE
Journal :
2020 American Control Conference (ACC)
Accession number :
edsair.doi.dedup.....73e108804c48deac849400f35d52109d
Full Text :
https://doi.org/10.23919/acc45564.2020.9147793