Abstract: Conduct research on unmanned aerial vehicles (UAVs) navigation planning algorithms and strategies, based on the analysis of traditional path planning methods and classical particle swarm optimization (PSO), a UAVs cloud collaborative navigation control algorithm is proposed. The PSO in the UAV onboard part is improved, and the hybrid swarm intelligent algorithm in the cloud background part is designed and optimized. Simulation and actual test results show that the method is correct and feasible, and can improve the quality of UAVs navigation planning solution. Compared with other navigation planning methods, this method has obvious advantages in UAVs navigation.