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Authors: Tamas Hegedus 1 ; Vu Van Tan 2 and Peter Gaspar 1 ; 3

Affiliations: 1 Institute for Computer Science and Control (SZTAKI), Eötvös Loránd Research Network (ELKH), Kende u. 13-17, H-1111 Budapest, Hungary ; 2 Department of Automotive Mechanical Engineering, Faculty of Mechanical Engineering, University of Transport and Communications, 3 Cau Giay Street, 100000 Hanoi, Vietnam ; 3 Department of Control for Transportation and Vehicle Systems, Budapest University of Technology and Economics, Stoczek u. 2, H-1111 Budapest, Hungary

Keyword(s): Ultra-Local Model, Lateral Control, Automated Vehicles.

Abstract: The paper proposes a combined control design framework using Model Predictive Control (MPC) and ultralocal model-based methods. The main idea behind the control algorithm is to exploit the advantage of both approaches. During the control input computation, a simplified model is used, which has a significant impact on the computational cost. Moreover, the simplified model does not contain hardly measurable or varying vehicle-specific parameters, which makes the whole control design process easier. The ultra-local model is used to deal with the unmodeled dynamics of the vehicle, by which the performance of the control system can be increased. The effectiveness of the proposed control structure is demonstrated through trajectory tracking problem of autonomous vehicles. The whole algorithm is implemented in a high-fidelity vehicle dynamics simulation software, whose results are compared to an accurate model-based MPC in terms of computational cost and tracking accuracy.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Hegedus, T.; Van Tan, V. and Gaspar, P. (2023). Lateral Control for Automated Vehicles Based on Model Predictive Control and Error-Based Ultra-Local Model. In Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO; ISBN 978-989-758-670-5; ISSN 2184-2809, SciTePress, pages 142-149. DOI: 10.5220/0012184500003543

@conference{icinco23,
author={Tamas Hegedus. and Vu {Van Tan}. and Peter Gaspar.},
title={Lateral Control for Automated Vehicles Based on Model Predictive Control and Error-Based Ultra-Local Model},
booktitle={Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO},
year={2023},
pages={142-149},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012184500003543},
isbn={978-989-758-670-5},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO
TI - Lateral Control for Automated Vehicles Based on Model Predictive Control and Error-Based Ultra-Local Model
SN - 978-989-758-670-5
IS - 2184-2809
AU - Hegedus, T.
AU - Van Tan, V.
AU - Gaspar, P.
PY - 2023
SP - 142
EP - 149
DO - 10.5220/0012184500003543
PB - SciTePress

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