Cooperative Vector Field-Based Synchronized Path Following for Underactuated USVs

This paper addresses the synchronized path following problem for multiple underactuated unmanned surface vehicles (USVs). A cooperative vector field-based guidance strategy is designed to ensure that all USVs follow predefined paths while maintaining coordination. To account for external disturbances, a time-varying linear observer is introduced to estimate the unknown sideslip angle, eliminating the need for expensive sensors and enhancing practical applicability. Additionally, a distributed synchronization mechanism is incorporated to enforce coordination among the USVs. The effectiveness of the proposed method is validated through numerical simulations, demonstrating its capability to achieve accurate path following and maintain coordinated movement.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-21
DOI
https://doi.org/10.5281/zenodo.15072118
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
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article

Cooperative Vector Field-Based Synchronized Path Following for Underactuated USVs

Zenodo (CERN European Organization for Nuclear Research)
Adaptive Control of Nonlinear Systems
article

Cooperative Vector Field-Based Synchronized Path Following for Underactuated USVs

article en

Abstract

This paper addresses the synchronized path following problem for multiple underactuated unmanned surface vehicles (USVs). A cooperative vector field-based guidance strategy is designed to ensure that all USVs follow predefined paths while maintaining coordination. To account for external disturbances, a time-varying linear observer is introduced to estimate the unknown sideslip angle, eliminating the need for expensive sensors and enhancing practical applicability. Additionally, a distributed synchronization mechanism is incorporated to enforce coordination among the USVs. The effectiveness of the proposed method is validated through numerical simulations, demonstrating its capability to achieve accurate path following and maintain coordinated movement.

Zenodo (CERN European Organization for Nuclear Research)
University of Montenegro (ME)
Industry, innovation and infrastructure
Openalex Percentile: Top 49%
Adaptive Control of Nonlinear Systems
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