String Stable Platooning Control based on Adaptive Dynamic Programming

String stability can be employed to evaluate the formation stability of vehicular platoons by checking if the velocity in the upstream direction of the vehicle platoon decreases, which is closely related to the safety of platooning systems in practice. Traditional string stable controllers are usually based on the accurate knowledge of vehicle model, which is hard to implement in practice. In this paper, we have proposed a novel data-driven control approach based on adaptive dynamic programming, <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathcal{H}_{\infty}$</tex> control, and zero-sum differential games, which does not rely on the model knowledge. Moreover, the platoon in closed-loop with the proposed control policy can ensure the strictly string stability. Traffic simulation results demonstrate the effectiveness of the proposed approach.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/cvci63518.2024.10830259
Primary Topic
Adaptive Dynamic Programming Control
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

String Stable Platooning Control based on Adaptive Dynamic Programming

Weinan Gao, Tianyou Chai, Yiheng Liu, Nan Qiao
Adaptive Dynamic Programming Control
article

String Stable Platooning Control based on Adaptive Dynamic Programming

Weinan Gao, Tianyou Chai, Yiheng Liu, Nan Qiao
article en

Abstract

String stability can be employed to evaluate the formation stability of vehicular platoons by checking if the velocity in the upstream direction of the vehicle platoon decreases, which is closely related to the safety of platooning systems in practice. Traditional string stable controllers are usually based on the accurate knowledge of vehicle model, which is hard to implement in practice. In this paper, we have proposed a novel data-driven control approach based on adaptive dynamic programming, <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathcal{H}_{\infty}$</tex> control, and zero-sum differential games, which does not rely on the model knowledge. Moreover, the platoon in closed-loop with the proposed control policy can ensure the strictly string stability. Traffic simulation results demonstrate the effectiveness of the proposed approach.

State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 70%
Adaptive Dynamic Programming Control
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