针对飞行器集群与多目标对抗问题，基于改进贪婪算法提出了多飞行器多目标动态分配方法，并基于分布式架构提出了多群组飞行器打击多目标的协同制导方法。提出多目标动态分配算法，结合目标价值评估模型，高效动态求解大规模飞行器集群与多目标匹配关系；依据多飞行器-目标群组匹配关系，为飞行器集群构建分布式通信网络；设计具有命中时间协同控制和视线角度约束特性的多群组飞行器协同制导律，实现以特定角度对多个目标同时或序贯打击。理论分析表明所设计动态分配协同制导方法可实现大规模飞行器集群对多目标的有序协同打击，通过数值仿真和可视化仿真演示验证了所提方法的有效性。

Aiming at the confrontation problem between vehicle swarms and multiple targets, a dynamic allocation method for multi-vehicle and multi-target is proposed based on the greedy algorithm, and a cooperative guidance method for multi-group vehicles attacking multiple targets is presented on the basis of distributed architecture. A multi-target allocation algorithm is constructed, combined with a target value evaluation model, to efficiently and dynamically solve the matching relationship between large-scale vehicle swarms and multiple targets. According to the multi-vehicle–target group matching relationship, a distributed communication network is established for the vehicle swarms. A multi-group vehicle cooperative guidance law with impact time coordination and line-of-sight angle constraints is designed to realize simultaneous or sequential strikes of multiple targets at specific angles. Theoretical analysis demonstrates that the proposed dynamic allocation and cooperative guidance method can realize orderly and cooperative attacks on multiple targets by large-scale vehicle swarms. Simulation results and demonstrations on the visualization platform verify the effectiveness of the proposed method.