Prescribed-Time Distributed Convex Polygon Entrapping Control for Multi-AAVs With Relative Measurements

This article proposes a prescribed-time distributed convex polygon entrapping control protocol based on relative measurements for leader-follower-constructed autonomous aerial vehicles (AAVs). A group of moving targets is considered as the entrapped target, whose dynamics are not predetermined in advance. First, a convex polygon formation is constructed to determine impact points of leaders through optimization, and the followers’ desired positions are derived from the relative positions of their neighbors. Then, a prescribed-time distributed entrapping controller is rigorously deduced, which can be applied to large-scale AAV swarms and guarantee the convergence of the system within a prescribed time set in advance. Finally, numerical simulations are performed for two targets with different dynamics to verify the effectiveness of the proposed method, which is capable of realizing the prescribed-time convex polygon entrapping.

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Publication Details

Journal
IEEE Transactions on Systems Man and Cybernetics Systems
Published
2024-12-23
DOI
https://doi.org/10.1109/tsmc.2024.3511535
Citations
1
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
0.33

Funders

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article

Prescribed-Time Distributed Convex Polygon Entrapping Control for Multi-AAVs With Relative Measurements

Shulong Zhao, Xiangke Wang, Jiayi Zheng
1 citations
IEEE Transactions on Systems Man and Cybernetics Systems
Advanced Control Systems Optimization
0.33
article

Prescribed-Time Distributed Convex Polygon Entrapping Control for Multi-AAVs With Relative Measurements

Shulong Zhao, Xiangke Wang, Jiayi Zheng
article en
1 citations

Abstract

This article proposes a prescribed-time distributed convex polygon entrapping control protocol based on relative measurements for leader-follower-constructed autonomous aerial vehicles (AAVs). A group of moving targets is considered as the entrapped target, whose dynamics are not predetermined in advance. First, a convex polygon formation is constructed to determine impact points of leaders through optimization, and the followers’ desired positions are derived from the relative positions of their neighbors. Then, a prescribed-time distributed entrapping controller is rigorously deduced, which can be applied to large-scale AAV swarms and guarantee the convergence of the system within a prescribed time set in advance. Finally, numerical simulations are performed for two targets with different dynamics to verify the effectiveness of the proposed method, which is capable of realizing the prescribed-time convex polygon entrapping.

IEEE Transactions on Systems Man and Cybernetics SystemsVol. 55(3)
National University of Defense Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 38%
Advanced Control Systems Optimization
0.33
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