Distributed Formation Control for Underactuated, Unmanned Surface Vehicles with Uncertainties and Disturbances

This paper investigates the distributed formation control problem of underactuated unmanned surface vehicles (UUSVs) with uncertainties and disturbances and proposes a novel distributed formation controller. The proposed controller redefines the dynamic and kinematic models for each UUSV, which reduces the complexity of the underactuated controller design. Dynamic surface control (DSC) is employed to eliminate the repeated derivatives of the virtual control law, which is crucial for the generation of real-time control signals. The proposed controller integrates neural network approximation with MLP-based adaptive laws to enhance the model’s resistance to disturbances. Then, an auxiliary adaptive law is designed for each UUSV to obtain a continuous controller under the compensation of approximate errors and disturbances. The results demonstrate that the controller achieves the desired goals for the formation control, and all control signals are guaranteed to be semi-global uniformly ultimately bounded (SGUUB). The final simulation results thoroughly prove the effectiveness of the theoretical results.

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Publication Details

Journal
Applied Sciences
Published
2024-12-23
DOI
https://doi.org/10.3390/app142412064
Citations
1
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.35

Funders

Controls
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article

Distributed Formation Control for Underactuated, Unmanned Surface Vehicles with Uncertainties and Disturbances

Wenbin Huang, Yuxin Zheng, Xi Chen, Lei Zhang et al.
1 citations
Applied Sciences
Distributed Control Multi-Agent Systems
0.35
article

Distributed Formation Control for Underactuated, Unmanned Surface Vehicles with Uncertainties and Disturbances

Wenbin Huang, Yuxin Zheng, Xi Chen, Lei Zhang, Yan-Hao Li
article en
1 citations

Abstract

This paper investigates the distributed formation control problem of underactuated unmanned surface vehicles (UUSVs) with uncertainties and disturbances and proposes a novel distributed formation controller. The proposed controller redefines the dynamic and kinematic models for each UUSV, which reduces the complexity of the underactuated controller design. Dynamic surface control (DSC) is employed to eliminate the repeated derivatives of the virtual control law, which is crucial for the generation of real-time control signals. The proposed controller integrates neural network approximation with MLP-based adaptive laws to enhance the model’s resistance to disturbances. Then, an auxiliary adaptive law is designed for each UUSV to obtain a continuous controller under the compensation of approximate errors and disturbances. The results demonstrate that the controller achieves the desired goals for the formation control, and all control signals are guaranteed to be semi-global uniformly ultimately bounded (SGUUB). The final simulation results thoroughly prove the effectiveness of the theoretical results.

Applied SciencesVol. 14(24)
Harbin Engineering University (CN), Northwestern Polytechnical University (CN), Marine Design & Research Institute of China (CN)
National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Peace, Justice and strong institutions
Openalex Percentile: Top 35%
Distributed Control Multi-Agent Systems
0.35
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Distributed Formation Control for Underactuated, Unmanned Surface Vehicles with Uncertainties and Disturbances — Wenbin Huang, Yuxin Zheng, et al. · Applied Sciences (2024) | TGRS Research Map | TGRS