Research on Optimal Interception Strategy of Multi-aircraft Cooperation Under Swarm Confrontation

In order to satisfy the requirement of intercepting maneuvering target swarm effectively under the background of modern air and space defense combat, a multi-aircraft cooperative optimal interception strategy generation method is proposed. This paper first establishes a three-dimensional proportional guidance model for single aircraft and design an unbalanced target allocation model for multi-aircraft cooperation based on the full coverage interception, the effective collision damage and the safety distance. Then, two tricks including learning coefficient asynchronous change and genetic algorithm combined optimization are introduced to improve the basic PSO algorithm. The simulation results show that the GPSO algorithm proposed in this paper has a faster convergence speed and higher optimization accuracy. By using this improved algorithm, the trajectories are relatively smooth with less cross and have no large fluctuations, which can meet the urgent need of interception efficiently to the maneuvering target.