摘要
研究复杂网络大规模无人机系统(Unmanned Aerial System,UAS)编队的拓扑结构优化建模问题,由于UAS编队数量巨大、不易同步,难于任务分配。为解决上述问题,构建了编队的无标度网络模型。在已有的无标度网络牵制控制同步准则的基础上建立了大规模UAS编队模型的同步准则,给出了网络模型的同步性能中受控无人机(Unmanned Aerial Vehicles,UAVs)数和UAV之间耦合强度关系进行数值仿真。运用人工鱼群算法对监测区域进行搜索,根据搜索结果对UAVs的坐标进行重置,得出坐标重置前后网络结构。仿真结果表明,重置前后网络的拓扑结构没有发生变化,模型的同步性能得到提高,为无人机编队优化设计提出了依据。
For the first time the topology structure of large amount of Unmanned Aerial System（UAS） formation was studied in the aspect of complex network.The connections between UAVs,the synchronization methods and the targets distribution are considered to be the basic problems of UAS formation.The scale-free network model was given in this paper to solve these problems.The synchronization criterion of the model was set up based on the synchronization criterion of pinning control of scale-free network.The relationship between the UAVs under controlled and the coupling strength of UAVs was given by numerical simulation.The Artificial Fish Swarm Algorithm（AFSA） was used to search the optimal values of the area and the locations of UAVs were changed due to the results.The topology structures of the formation model were given in the paper,which were keeping unchanged,so the synchronization ability of the model was not affected.
出处
《计算机仿真》
CSCD
北大核心
2013年第7期78-81,178,共5页
Computer Simulation
基金
航空科学基金(20111396011)
陕西省自然科学基金(2012JM8035)
空军工程大学研究生创新基金
关键词
无人机系统编队
无标度网络
同步控制
人工鱼群算法
极值搜索
Unmanned aerial system formation
Scale-free network
Synchronization control
Artificial fish swarm algorithm
Extreme value search
