基于拓扑相变理论的无人机集群协同控制方法OA

Aiming at the problems of high energy consumption and weak anti-interference ability caused by insufficient regu-lation accuracy of topological state in UAV swarm cooperative control,a UAV swarm cooperative control method based on to-pological phase transition theory is proposed.First,the topological phase transition theory is mapped to the field of UAV swarm control,and a UAV swarm cooperative control model based on topological phase transition theory is constructed.Sec-ond,a closed-loop control method based on phase transition perception,phase transition judgment,phase transition regula-tion and phase transition feedback is proposed,a strategy for dynamically adjusting the communication radius is designed,and the critical communication radius is determined through random graph theory derivation and simulation.Finally,the fea-sibility of the method is verified by simulation.The results of multiple simulation experiments show that,compared with the UAV swarm phase transition control method based on the self-propulsion mechanism of bird flocks,the anti-interference abil-ity of the proposed method is improved by 40%;compared with the control method based on reinforcement learning,the en-ergy consumption is reduced by 5%,and the computational complexity is significantly reduced.