Lateral Control for Automated Vehicles Based on Model Predictive Control and Error-Based Ultra-Local Model
Tamas Hegedus, Vu Van Tan, Peter Gaspar, Peter Gaspar
2023
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.
DownloadPaper Citation
in Harvard Style
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, SciTePress, pages 142-149. DOI: 10.5220/0012184500003543
in Bibtex Style
@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},
}
in EndNote Style
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
AU - Hegedus T.
AU - Van Tan V.
AU - Gaspar P.
PY - 2023
SP - 142
EP - 149
DO - 10.5220/0012184500003543
PB - SciTePress