Abstract: 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.

Key words: multiple flight vehicles, multi-group, target allocation, cooperative guidance, sequential strike, line-of-sight angle constraint, visible simulation demonstration