Collision-Free Maneuvering for a UAV Swarm Based on Parallel Control

The maneuvering of a large-scale unmanned aerial vehicle (UAV) swarm, notable for flexible flight with collision-free, is still challenging due to the significant number of UAVs and the compact configuration of the swarm. In light of this problem, a novel parallel control method that utilizes space and time transformation is proposed. First, the swarm is decomposed based on a grouping-hierarchical strategy, while the distinct flight roles are assigned to each UAV. Then, to achieve the desired configuration (DCF) in the real world, a bijection transformation is conducted in the space domain, converting an arbitrarily general configuration (GCF) into a standard configuration (SCF) in the virtual space. Further, to improve the flexibility of the swarm, the time scaling transformation is adopted in the time domain, which ensures the desired prescribed-time convergence of the swarm independent of initial conditions. Finally, simulation results demonstrate that collision-free maneuvering, including formation changes and turning, can be effectively and rapidly achieved by the proposed parallel control method. Overall, this research contributes a viable solution for enhancing cooperation among large-scale UAV swarms.

Authors

Institutions

Publication Details

Journal
IEEE/CAA Journal of Automatica Sinica
Published
2025-03-31
DOI
https://doi.org/10.1109/jas.2024.124674
Citations
10
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
12.76

Funders

Controls
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article

Collision-Free Maneuvering for a UAV Swarm Based on Parallel Control

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10 citations
IEEE/CAA Journal of Automatica Sinica
Robotic Path Planning Algorithms
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article

Collision-Free Maneuvering for a UAV Swarm Based on Parallel Control

Yangwang Fang, Dengxiu Yu, Wenhui Ma, Jiacheng Li, C. L. Philip Chen
article en
10 citations

Abstract

The maneuvering of a large-scale unmanned aerial vehicle (UAV) swarm, notable for flexible flight with collision-free, is still challenging due to the significant number of UAVs and the compact configuration of the swarm. In light of this problem, a novel parallel control method that utilizes space and time transformation is proposed. First, the swarm is decomposed based on a grouping-hierarchical strategy, while the distinct flight roles are assigned to each UAV. Then, to achieve the desired configuration (DCF) in the real world, a bijection transformation is conducted in the space domain, converting an arbitrarily general configuration (GCF) into a standard configuration (SCF) in the virtual space. Further, to improve the flexibility of the swarm, the time scaling transformation is adopted in the time domain, which ensures the desired prescribed-time convergence of the swarm independent of initial conditions. Finally, simulation results demonstrate that collision-free maneuvering, including formation changes and turning, can be effectively and rapidly achieved by the proposed parallel control method. Overall, this research contributes a viable solution for enhancing cooperation among large-scale UAV swarms.

IEEE/CAA Journal of Automatica SinicaVol. 12(4)
Northwestern Polytechnical University (CN), University of Macau (MO), Xi'an Technological University (CN), South China University of Technology (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 1%
Robotic Path Planning Algorithms
12.76
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