Steering System Modification for Autonomous Test Vehicles and the Measurement of Steering Geometry

This study presents the development and implementation of an electronically actuated steering system in a Formula Student Driverless race car, aiming to support autonomous driving capability. A DC motor with a belt-drive mechanism was integrated into the original steering rack assembly without altering its core mechanical characteristics. The research also includes a validation of the steering geometry using both physical measurements and CAD simulations. The objective of this measurement is to determine the steering angle as a function of the steering wheel input angle, ensuring that the resulting data accurately informs vehicle dynamics models such as the kinematic bicycle model. These steps form the basis for closed-loop control integration in the autonomous driving platform.

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Publication Details

Published
2025-11-13
DOI
https://doi.org/10.3390/engproc2025113067
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
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article

Steering System Modification for Autonomous Test Vehicles and the Measurement of Steering Geometry

Zoltán Pusztai, Máté Kapocsi, László Illés Orova
Vehicle Dynamics and Control Systems
article

Steering System Modification for Autonomous Test Vehicles and the Measurement of Steering Geometry

Zoltán Pusztai, Máté Kapocsi, László Illés Orova
article en

Abstract

This study presents the development and implementation of an electronically actuated steering system in a Formula Student Driverless race car, aiming to support autonomous driving capability. A DC motor with a belt-drive mechanism was integrated into the original steering rack assembly without altering its core mechanical characteristics. The research also includes a validation of the steering geometry using both physical measurements and CAD simulations. The objective of this measurement is to determine the steering angle as a function of the steering wheel input angle, ensuring that the resulting data accurately informs vehicle dynamics models such as the kinematic bicycle model. These steps form the basis for closed-loop control integration in the autonomous driving platform.

Széchenyi István University (HU)
Openalex Percentile: Top 63%
Vehicle Dynamics and Control Systems
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