Inverse-dynamics observer design for a linear single-track vehicle model with distributed tire dynamics

Fuente: arXiv
Salvato in:
Dettagli Bibliografici
Autori principali: Romano, Luigi, Aamo, Ole Morten, Åslund, Jan, Frisk, Erik
Natura: Preprint
Pubblicazione: 2026
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866914414195638272
author Romano, Luigi
Aamo, Ole Morten
Åslund, Jan
Frisk, Erik
author_facet Romano, Luigi
Aamo, Ole Morten
Åslund, Jan
Frisk, Erik
contents Accurate estimation of the vehicle's sideslip angle and tire forces is essential for enhancing safety and handling performances in unknown driving scenarios. To this end, the present paper proposes an innovative observer that combines a linear single-track model with a distributed representation of the tires and information collected from standard sensors. In particular, by adopting a comprehensive representation of the tires in terms of hyperbolic partial differential equations (PDEs), the proposed estimation strategy exploits dynamical inversion to reconstruct the lumped and distributed vehicle states solely from yaw rate and lateral acceleration measurements. Simulation results demonstrate the effectiveness of the observer in estimating the sideslip angle and tire forces even in the presence of noise and model uncertainties.
format Preprint
id arxiv_https___arxiv_org_abs_2603_07499
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Inverse-dynamics observer design for a linear single-track vehicle model with distributed tire dynamics
Romano, Luigi
Aamo, Ole Morten
Åslund, Jan
Frisk, Erik
Systems and Control
Robotics
Accurate estimation of the vehicle's sideslip angle and tire forces is essential for enhancing safety and handling performances in unknown driving scenarios. To this end, the present paper proposes an innovative observer that combines a linear single-track model with a distributed representation of the tires and information collected from standard sensors. In particular, by adopting a comprehensive representation of the tires in terms of hyperbolic partial differential equations (PDEs), the proposed estimation strategy exploits dynamical inversion to reconstruct the lumped and distributed vehicle states solely from yaw rate and lateral acceleration measurements. Simulation results demonstrate the effectiveness of the observer in estimating the sideslip angle and tire forces even in the presence of noise and model uncertainties.
title Inverse-dynamics observer design for a linear single-track vehicle model with distributed tire dynamics
topic Systems and Control
Robotics
url https://arxiv.org/abs/2603.07499