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

Published
2025-02-19
DOI
https://doi.org/10.1109/it64745.2025.10930292
Citations
1
Primary Topic
Extremum Seeking Control Systems
Type
article
Field-Weighted Citation Impact
1.21
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article

Cooperative Vector Field-Based Synchronized Path Following for Underactuated USVs

Marco Bibuli, Žarko Zečević, Massimo Caccia, Luka Martinović
1 citations
Extremum Seeking Control Systems
1.21
article

Cooperative Vector Field-Based Synchronized Path Following for Underactuated USVs

Marco Bibuli, Žarko Zečević, Massimo Caccia, Luka Martinović
article en
1 citations

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.

Institute of Marine Engineering (IT), National Research Council (IT), University of Montenegro (ME)
Openalex Percentile: Top 24%
Extremum Seeking Control Systems
1.21
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