网络化智能攻击子弹药任务规划

Task Allocation for Networked Smart Attack Sub-munitions

网络化智能攻击子弹药的任务状态包括:搜索、识别、攻击和毁伤评估。为了实现多个弹药协同工作以更好更高效的方式执行作战任务,构造效益函数来对多个子弹药的任务进行规划,以最大收益的情况进行任务分配。建立了搜索收益、再识别收益、攻击收益和毁伤评估收益的计算公式。通过仿真示例看出,建立的效益函数模型可以实现将子弹药以最适合的任务状态分配给最适当的目标。

The tasks of the networked smart attack sub-munitions include search,identify,attack and battle damage assessment.In the purpose of realizing cooperative operation to execute battle tasks in a desirable and effective manner,a benefit function was established to accomplish the tasks allocation for sub-munitions.The tasks allocation was executed based on obtaining the best benefit.Calculation formulas of search benefit,re-identify benefit,attack benefit and battle damage assessment benefit were constructed.An example shows that benefit function model can allocate the sub-munitions in the optimal state to the optimal target.