Adaptive Cooperative Platoon Control of Underactuated Autonomous Surface Vehicles

This article addresses the flexible adaptive cooperative formation platoon control (ACFPC) of a fleet of underactuated autonomous surface vehicles (ASVs) suffered by environmental current and wind disturbances. A nonlinear vessel following strategy is constructed considering the inertia times of the ASVs through the utilization of a generalized look-ahead method, allowing for a safer flexible desired gap among inter-ASV. A hierarchical formation tracking control framework is established, where a high-level control law is designed to attain a specified platoon formation pattern according to a flexible inter-ASV gap-tunning strategy, which can effectively prevent vessels from colliding. Meanwhile, an adaptive low-level individual regulator is developed for each ASV to govern the vehicles toward the desirable velocity calculated by the high-level controller. Sufficient conditions are derived afterward to guarantee the asymptotic stability of the closed-loop multi-ASV fleet regulated by the proposed ACFPC. Finally, real lake-based experiments are conducted to substantiate the effectiveness of the ACFPC.

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Publication Details

Journal
IEEE Transactions on Industrial Electronics
Published
2025-03-19
DOI
https://doi.org/10.1109/tie.2025.3546371
Citations
2
Primary Topic
Traffic control and management
Type
article
Field-Weighted Citation Impact
2.43
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article

Adaptive Cooperative Platoon Control of Underactuated Autonomous Surface Vehicles

Hai-Tao Zhang, Siqing Sun, Chuancong Tang, Qing‐Long Han et al.
2 citations
IEEE Transactions on Industrial Electronics
Traffic control and management
2.43
article

Adaptive Cooperative Platoon Control of Underactuated Autonomous Surface Vehicles

Hai-Tao Zhang, Siqing Sun, Chuancong Tang, Qing‐Long Han, Hongwei Sun
article en
2 citations

Abstract

This article addresses the flexible adaptive cooperative formation platoon control (ACFPC) of a fleet of underactuated autonomous surface vehicles (ASVs) suffered by environmental current and wind disturbances. A nonlinear vessel following strategy is constructed considering the inertia times of the ASVs through the utilization of a generalized look-ahead method, allowing for a safer flexible desired gap among inter-ASV. A hierarchical formation tracking control framework is established, where a high-level control law is designed to attain a specified platoon formation pattern according to a flexible inter-ASV gap-tunning strategy, which can effectively prevent vessels from colliding. Meanwhile, an adaptive low-level individual regulator is developed for each ASV to govern the vehicles toward the desirable velocity calculated by the high-level controller. Sufficient conditions are derived afterward to guarantee the asymptotic stability of the closed-loop multi-ASV fleet regulated by the proposed ACFPC. Finally, real lake-based experiments are conducted to substantiate the effectiveness of the ACFPC.

IEEE Transactions on Industrial ElectronicsVol. 72(10)
Northwestern Polytechnical University (CN), Wuhan University of Science and Technology (CN), Huazhong University of Science and Technology (CN), Swinburne University of Technology (AU)
Openalex Percentile: Top 13%
Traffic control and management
2.43
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Adaptive Cooperative Platoon Control of Underactuated Autonomous Surface Vehicles — Hai-Tao Zhang, Siqing Sun, et al. · IEEE Transactions on Industrial Electronics (2025) | TGRS Research Map | TGRS