Improved Artificial Potential-Based Formation Control of Multi-USV Systems for Collision and Obstacle Avoidance Under GPS Attacks

This paper proposes a formation control method for multi-Unmanned Surface Vessel (USV) systems with collision avoidance and obstacle avoidance under GPS attacks. Each USV is subject to unknown kinetics induced by internal model uncertainty, input saturation, and external disturbances. First, the external environmental disturbance and nonlinear dynamics of the multi-USV systems are handled using the fuzzy logic system. Second, a protocol for the formation control of multi-USV systems under GPS attacks is designed. The collision avoidance and obstacle avoidance issues are addressed by an improved artificial potential field (APF) method. Based on the Lyapunov theory, the stability of the closed-loop multi-USV systems can be guaranteed. Finally, simulation examples demonstrate the effectiveness of the proposed control method.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/icist63249.2024.10805370
Citations
1
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.35
Controls
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article

Improved Artificial Potential-Based Formation Control of Multi-USV Systems for Collision and Obstacle Avoidance Under GPS Attacks

Sen Cheng, Xiaochen Li, Yue Yang
1 citations
Distributed Control Multi-Agent Systems
0.35
article

Improved Artificial Potential-Based Formation Control of Multi-USV Systems for Collision and Obstacle Avoidance Under GPS Attacks

Sen Cheng, Xiaochen Li, Yue Yang
article en
1 citations

Abstract

This paper proposes a formation control method for multi-Unmanned Surface Vessel (USV) systems with collision avoidance and obstacle avoidance under GPS attacks. Each USV is subject to unknown kinetics induced by internal model uncertainty, input saturation, and external disturbances. First, the external environmental disturbance and nonlinear dynamics of the multi-USV systems are handled using the fuzzy logic system. Second, a protocol for the formation control of multi-USV systems under GPS attacks is designed. The collision avoidance and obstacle avoidance issues are addressed by an improved artificial potential field (APF) method. Based on the Lyapunov theory, the stability of the closed-loop multi-USV systems can be guaranteed. Finally, simulation examples demonstrate the effectiveness of the proposed control method.

Wuhan University of Technology (CN), Tianjin Research Institute of Water Transport Engineering (CN)
Climate action
Openalex Percentile: Top 35%
Distributed Control Multi-Agent Systems
0.35
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