面向非饱和多目标任务的异构飞行器快速决策方法

A Rapid Decision-Making Method for Heterogeneous Flight Vehicle in Unsaturated Multi-objective Tasks

  • 摘要: 针对异构火箭弹非饱和多目标火力筹划中毁伤评估效率低、附带毁伤利用不足以及圆概率误差和目标位置误差等不确定性因素影响毁伤评估的问题,提出一种分层火力筹划方法。将破片和冲击波威力场进行能量聚合栅格化表征,构建以落角、落速、炸高和弹种类别为条件的增强型条件扩散模型,实现多弹种战斗部威力场快速生成;采用混沌多项式进行不确定性下的毁伤期望评估;依据最大毁伤作用范围进行目标分组,在上层建立考虑附带毁伤和动态约束松弛的武器−目标分配模型,在下层开展组内瞄准点优化。仿真结果表明,与直接联合优化方法相比,所提方法的总毁伤期望提高12.79%,总筹划时间由16 224.67 s降至153.83 s,降低99.05%;同时,在弹药资源受限条件下,该方法能够优先保障高打击决心目标的毁伤需求。

     

    Abstract: To address inefficient damage assessment, insufficient use of collateral damage, and the influence of circular error probable (CEP) and target emplacement error probable (TEP) in unsaturated multi-target firepower planning for heterogeneous rockets, a hierarchical firepower planning method was proposed. First, fragment and blast-wave power fields were represented using energy-aggregated grids, and an enhanced conditional diffusion model (PGen-CDM) conditioned on impact angle, impact velocity, burst height, and warhead type was developed to rapidly generate power fields for different warhead types. Second, polynomial chaos (PC) was used to propagate CEP and TEP and calculate the expected damage caused by coordinated multiple aimpoints. Third, targets were grouped according to the maximum damage range; an upper-level weapon-target assignment (WTA) model incorporating collateral damage and dynamic constraint relaxation was established, and lower-level aimpoint optimization (AO) was then performed within each group. Simulation results show that, compared with direct joint optimization, the proposed method improves the total expected damage by 12.79% and reduces the total planning time from 16 224.67 s to 153.83 s, corresponding to a reduction of 99.05%. Under limited ammunition resources, the method can also prioritize the damage requirements of targets with high strike determination.

     

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