Lateral Control of Autonomous Vehicles Using Barrier Lyapunov Function

Guaranteed safety and performance under different cases have significant influence on the development of lateral control of autonomous vehicles. This paper proposes a robust nonlinear controller using barrier Lyapunov function within the constraints. In the case of unknown bounded uncertainty, the barrier Lyapunov function is appropriately arranged into the controller to restrict the state variables of the designed safe region in the process. Thus, the proposed method is composed of the nonlinear controller using barrier Lyapunov function and kalman filter. The kalman filter is designed as an observer to estimate the state variables. At the meantime, the method we proposed meets the constraints of output and the external disturbance. Moreover, the validity of the proposed method is validated in the co-simulation of the MATLAB/Simulink and CarSim.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/hpcc64274.2024.00236
Primary Topic
Traffic control and management
Type
article
Field-Weighted Citation Impact
0.00

Funders

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article

Lateral Control of Autonomous Vehicles Using Barrier Lyapunov Function

Yue Wu, L. G. Shao, Heng Li, Bin Chen et al.
Traffic control and management
article

Lateral Control of Autonomous Vehicles Using Barrier Lyapunov Function

Yue Wu, L. G. Shao, Heng Li, Bin Chen, Boyu Shu
article en

Abstract

Guaranteed safety and performance under different cases have significant influence on the development of lateral control of autonomous vehicles. This paper proposes a robust nonlinear controller using barrier Lyapunov function within the constraints. In the case of unknown bounded uncertainty, the barrier Lyapunov function is appropriately arranged into the controller to restrict the state variables of the designed safe region in the process. Thus, the proposed method is composed of the nonlinear controller using barrier Lyapunov function and kalman filter. The kalman filter is designed as an observer to estimate the state variables. At the meantime, the method we proposed meets the constraints of output and the external disturbance. Moreover, the validity of the proposed method is validated in the co-simulation of the MATLAB/Simulink and CarSim.

Central South University (CN), Changsha University of Science and Technology (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 62%
Traffic control and management
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Lateral Control of Autonomous Vehicles Using Barrier Lyapunov Function — Yue Wu, L. G. Shao, et al. · (2024) | TGRS Research Map | TGRS