Optimization Method for the Attack Trajectory of Loitering Munitions Based on Damage Pre-assessment

Abstract In order to take into account the traditional terminal damage research while designing the trajectory of loitering munitions, this paper deduces a quantitative method which takes the detonation decision of loitering munitions as the input and outputs the damage effect on the power system of the target vehicle. A two-layer optimization model aiming at improving the damage effect and reducing the trajectory length is established, and a trajectory optimization method based on genetic algorithm is designed. The results of numerical simulation show that this optimization method can effectively and stably improve the damage effect of loitering munitions on the power system of the target vehicle, and the genetic algorithm can quickly converge to obtain the optimal trajectory solution. The work contributes to the application of terminal damage research in the overall design of loitering munitions and lays a good foundation for promoting the intelligent damage research of loitering munitions.