As Unmanned Aerial Vehicle(UAV)cluster operations become a critical component of modern military missions,coordinated aerial refueling for multiple UAVs is urgent.In response to the challenge of aerial refueling rendezvous under spatiotemporal distribution,this paper proposes a multi-UAV refueling path planning method that integrates consensus control with the Improved Interfered Fluid Dynamical System(IIFDS)algorithm.Firstly,a mathematical model for multi-UAV path planning is constructed,based on the dynamic constraints of multi-UAV clusters and aerial refueling demands.Then,a path planning method that combines consensus control and the IIFDS algorithm is proposed to solve collision avoidance and formation distance constraints during the aerial refueling rendezvous process.A speed-time adjustment strategy is adopted to ensure that the UAV clusters achieve synchronized rendezvous in the refueling area.Finally,simulation results show that the algorithm completes the aerial refueling rendezvous task of 8 UAVs from 4 airports,effectively verifying the safety and efficiency of the method.This study provides an aerial refueling path planning solution and offers valuable insights for future large-scale swarm coordination and rendezvous mission planning.
维普
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