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V2V-Based Cooperative Control of Uncertain, Disturbed and Constrained Nonlinear CAVs Platoon

Authors :
Yang Zhu
Jun Wu
Hongye Su
Source :
IEEE Transactions on Intelligent Transportation Systems. 23:1796-1806
Publication Year :
2022
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 2022.

Abstract

The longitudinal control of the platoon of connected and automated vehicles (CAVs) has gained extensive attention in recent transportation research. A majority of existing results are based on linearized third-order vehicular models, under the premise that a complete priori knowledge of vehicle dynamics is available. This article focuses on a general class of third-order nonlinear CAVs with parametric uncertainty and unknown external disturbance which cannot be linearized. A vehicle-to-vehicle (V2V) communication-based cooperative adaptive backstepping control scheme is proposed, in which unknown parameters and disturbance bounds are estimated on-line. Since the transfer function of linear systems cannot be applied to nonlinear systems to guarantee string stability, asymmetric time-varying constraints are employed to prevent the spacing errors from growing up. A realistic example is considered to verify the feasibility of the control algorithm.

Details

ISSN :
15580016 and 15249050
Volume :
23
Database :
OpenAIRE
Journal :
IEEE Transactions on Intelligent Transportation Systems
Accession number :
edsair.doi...........b7645a2444ab0cafed08327fccf27973
Full Text :
https://doi.org/10.1109/tits.2020.3026877