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Robust adaptive control for a class of autonomous vehicle platoons.

Authors :
Ren, Tianqun
Chen, Xiang
Gu, Guoxiang
Source :
International Journal of Adaptive Control & Signal Processing. Jun2024, Vol. 38 Issue 6, p1999-2021. 23p.
Publication Year :
2024

Abstract

Summary: This article studies robust adaptive control for a class of autonomous vehicle platoons. In particular, two innovative adaptive control laws are proposed to address both position and velocity tracking for a vehicle platoon. In addition, it is shown that robust asymptotic string stability can be delivered by the underlying adaptive control laws for the vehicle platoon, in the sense that these adaptive control laws are capable of mitigating parameter uncertainties involved in the nonlinear vehicular dynamics and achieving truly cooperative adaptive cruise control while ensuring the required safety spacing between each neighboring vehicle pair asymptotically. It is also shown that the control performance of the vehicle platoon can be further improved if the operating equilibrium points of all vehicles can be adaptively estimated, leading to two linear timeā€invariant control laws for individual vehicles under both position and velocity controls and for the vehicle platoon. Simulation studies illustrate the effectiveness of the proposed control method, validating the results obtained for the class of vehicle platoons. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08906327
Volume :
38
Issue :
6
Database :
Academic Search Index
Journal :
International Journal of Adaptive Control & Signal Processing
Publication Type :
Academic Journal
Accession number :
177613770
Full Text :
https://doi.org/10.1002/acs.3790