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This paper proposes a rendezvous route planning algorithm for multiple unmanned aerial vehicle (UAV) clusters aerial refueling under spatiotemporal distribution. Considering UAVs’ dynamic constraints and environmental threats including radars, weather threats, and enemy UAVs, the model of multiple UAV clusters aerial refueling rendezvous planning is proposed. To guarantee the rendezvous safety of UAVs and achieve obstacle avoidance under dynamic and static environmental threats, a tanker-receiver route planning algorithm based on the Improved Interfered Fluid Dynamical System (IIFDS) is designed. Then, a collaboration strategy incorporating virtual obstacles and additional extra-attraction fluid is developed to address the issues of collision avoidance and communication assurance between UAVs, for multi-UAVs’ rendezvous tasks under spatiotemporal distribution. Moreover, simulations are conducted to validate the effectiveness and reliability of the algorithms.

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Rendezvous Route Planning for Multiple UAV Clusters Aerial Refueling Under Spatiotemporal Distribution

  • 会议论文

  • 发表日期：

    2025年

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  • Chenyu Li,
  • Zhuolin Xing,
  • Zikang Su,
  • Xianyong Jing,
  • Honglun Wang

摘要

This paper proposes a rendezvous route planning algorithm for multiple unmanned aerial vehicle (UAV) clusters aerial refueling under spatiotemporal distribution. Considering UAVs’ dynamic constraints and environmental threats including radars, weather threats, and enemy UAVs, the model of multiple UAV clusters aerial refueling rendezvous planning is proposed. To guarantee the rendezvous safety of UAVs and achieve obstacle avoidance under dynamic and static environmental threats, a tanker-receiver route planning algorithm based on the Improved Interfered Fluid Dynamical System (IIFDS) is designed. Then, a collaboration strategy incorporating virtual obstacles and additional extra-attraction fluid is developed to address the issues of collision avoidance and communication assurance between UAVs, for multi-UAVs’ rendezvous tasks under spatiotemporal distribution. Moreover, simulations are conducted to validate the effectiveness and reliability of the algorithms.