无人机集群组网任务分配方法研究

Research on Task Allocation Method of Unmanned Aerial Vehicle Cluster Network

集群组网是多无人机(UAV)协同作战的典型样式之一,而任务分配是其发挥作战效能的基本前提。针对该问题,提出了集群组网任务分配模型和任务分配求解算法。分析了集群组网的任务分配问题,并剖析了任务分配分层递阶结构;借助层次分析思路,建立了集群组网任务分配模型;结合群体智能优化算法的优势,提出了基于PSO-ICWPA的集群组网任务分配算法;对集群组网模式和多对多模式下的任务分配问题求解进行了仿真分析,验证了任务分配模型的合理性与算法的优越性。

The cluster network is one of the typical multi unmanned aerial vehicle (UAV)cooperative engagement mode.Task allocation is the basic premise making use of combat effectiveness of the cluster network.Aiming at this problem,the model and algorithm of task allocation are put forward.Task allocation problem of the cluster network and hierarchical structure of task allocation are analyzed.Task allocation model of the cluster network is built via the idea of hierarchy analysis.Task allocation algorithm of the cluster network based on PSO-ICWPA is put forward combining the advantage of intelligent optimization algorithm.Simulated analysis of task allocation model of cluster network is compared with many-to-many task allocation model,verifying the rationality of the task allocation model and the superiority of the algorithm.