Formation Control of Multiple Underactuated Unmanned Surface Vessel Systems Based on the Leader-Follower Method

This paper focuses on formation control for multiple underactuated unmanned surface vessels (USVs) system based on the leader-follower method. A new formation control model is first proposed. Then control laws for the kinematics and dynamics parts are developed separately based on the Lyapunov direct method and proportional control. The formation controller guarantees that the fleet can move in the desired structure with stability under disturbances. Numerical simulations are conducted to verify the controller’s effectiveness.

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Publication Details

Published
2024-08-08
DOI
https://doi.org/10.1109/cis-ram61939.2024.10672909
Citations
2
Primary Topic
Maritime Navigation and Safety
Type
article
Field-Weighted Citation Impact
0.67
Controls
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article

Formation Control of Multiple Underactuated Unmanned Surface Vessel Systems Based on the Leader-Follower Method

Shuzhi Sam Ge, Xiaoling Liang, Jianyang Yuan
2 citations
Maritime Navigation and Safety
0.67
article

Formation Control of Multiple Underactuated Unmanned Surface Vessel Systems Based on the Leader-Follower Method

Shuzhi Sam Ge, Xiaoling Liang, Jianyang Yuan
article en
2 citations

Abstract

This paper focuses on formation control for multiple underactuated unmanned surface vessels (USVs) system based on the leader-follower method. A new formation control model is first proposed. Then control laws for the kinematics and dynamics parts are developed separately based on the Lyapunov direct method and proportional control. The formation controller guarantees that the fleet can move in the desired structure with stability under disturbances. Numerical simulations are conducted to verify the controller’s effectiveness.

National University of Singapore (SG)
Life below water
Openalex Percentile: Top 31%
Maritime Navigation and Safety
0.67
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Formation Control of Multiple Underactuated Unmanned Surface Vessel Systems Based on the Leader-Follower Method — Shuzhi Sam Ge, Xiaoling Liang, et al. · (2024) | TGRS Research Map | TGRS