基于狼群角色匹配C-劳动分工机制的无人机集群空战策略

针对无人机集群在空战任务中的角色动态切换问题，提出了受狼群启发的无人机集群空战角色匹配C-任务分工方法，提高了应对复杂空战环境的动态任务执行能力。首先，通过分析狼群围捕行为特性，得到三种狼群个体特性，进而给出狼群角色匹配C-劳动分工模型。然后，基于无人机集群和狼群在行为机制上的相似性，将狼群的分工机制映射到无人机集群中，提出了无人机集群角色匹配C-任务分工模型。最后，针对不同任务分工下的目标分配问题，分别建立了攻击和制导任务的目标分配模型。仿真表明所提出的角色匹配C-任务分工方法能够有效解决空战角色动态切换问题，提高了整体空战能力。

UAV Swarm Air Combat Strategy Based on Wolf Group Role Matching and Labor Division Mechanism

In view of role dynamic switching of heterogeneous UAV swarm in air combat tasks, a wolf inspired role matching task division method of UAV swarm in air combat is proposed to improve the dynamic task execution ability to deal with complex air combat environment. Firstly, three individual characteristics of wolves are obtained by analyzing the hunting behavior characteristics of wolves, and the role matching labor division model of wolves is given. And then, based on the similarity of behavior mechanism between UAV swarm and wolf group, the division mechanism of wolf group is mapped to UAV swarm, and a role matching task division model of UAV swarm is proposed. Finally, in view of the target allocation problems under different task division, the target allocation models of attack and guidance tasks are established respectively. The simulation results show that the proposed role matching task division method can effectively solve the problem of dynamic role switching in air combat and improve the overall air combat capability.