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Simulation and Analysis of Grid Formation Method for UAV Clusters Based on the 3 × 3 Magic Square and the Chain Rules of Visual Reference
by
Qiao, Rui
, Cheng, Yuehua
, Xu, Guili
, Ye, Zhengyu
, Huang, Jinlong
in
3 × 3 magic square
/ chain rules of visual reference
/ Communication
/ dynamic self-healing capacity
/ electromagnetic interference
/ Experiments
/ large-scale unmanned aerial vehicle formations
/ Methods
/ network connectivity
/ Simulation
2021
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Simulation and Analysis of Grid Formation Method for UAV Clusters Based on the 3 × 3 Magic Square and the Chain Rules of Visual Reference
by
Qiao, Rui
, Cheng, Yuehua
, Xu, Guili
, Ye, Zhengyu
, Huang, Jinlong
in
3 × 3 magic square
/ chain rules of visual reference
/ Communication
/ dynamic self-healing capacity
/ electromagnetic interference
/ Experiments
/ large-scale unmanned aerial vehicle formations
/ Methods
/ network connectivity
/ Simulation
2021
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Do you wish to request the book?
Simulation and Analysis of Grid Formation Method for UAV Clusters Based on the 3 × 3 Magic Square and the Chain Rules of Visual Reference
by
Qiao, Rui
, Cheng, Yuehua
, Xu, Guili
, Ye, Zhengyu
, Huang, Jinlong
in
3 × 3 magic square
/ chain rules of visual reference
/ Communication
/ dynamic self-healing capacity
/ electromagnetic interference
/ Experiments
/ large-scale unmanned aerial vehicle formations
/ Methods
/ network connectivity
/ Simulation
2021
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Simulation and Analysis of Grid Formation Method for UAV Clusters Based on the 3 × 3 Magic Square and the Chain Rules of Visual Reference
Journal Article
Simulation and Analysis of Grid Formation Method for UAV Clusters Based on the 3 × 3 Magic Square and the Chain Rules of Visual Reference
2021
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Overview
Large-scale unmanned aerial vehicle (UAV) formations are vulnerable to disintegration under electromagnetic interference and fire attacks. To address this issue, this work proposed a distributed formation method of UAVs based on the 3 × 3 magic square and the chain rules of visual reference. Enlightened by the biomimetic idea of the plane formation of starling flocks, this method adopts the technical means of airborne vision and a cooperative target. The topological structure of the formation’s visual reference network showed high static stability under the measurement of the network connectivity index. In addition, the dynamic self-healing ability of this network was analyzed. Finally, a simulation of a battlefield using matlab showed that, when the loss of UAVs reaches 85% for formations with different scales, the UAVs breaking formation account for 5.1–6% of the total in the corresponding scale, and those keeping formation account for 54.4–65.7% of the total undestroyed fleets. The formation method designed in this paper can maintain the maximum number of UAVs in formation on the battlefield.
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