多无人机编队队形选择和优化  

The Selection and Optimization of Multiple UAVs Formation

作　　者：唐悦 李聪[2] 黄长强[2] 王勇[2] TANG Yue;LI Cong;HUANG Chang-qiang;WANG Yong(Lintong Sanatorium,Lintong Shanxi 710600,China;Aeronautics and Astronautics Engineering College,Air Force Engineering University,Xi’an Shanxi 710038,China)

机构地区：[1]临潼疗养院,陕西临潼710600 [2]空军工程大学航空航天工程学院,陕西西安710038

出　　处：《计算机仿真》2019年第5期98-104,共7页Computer Simulation

基　　金：国家自然科学基金(61601505);航空科学基金(20155196022);陕西省自然科学基金(2017JM6078)

摘　　要：针对多无人机编队作战过程中的队形选择和几何参数优化问题,提出了结合云模型理论的模糊层次分析法以及应用于遗传算法中一种表明队形几何参数和编队作战能力指标之间关系的适应度函数。利用云模型理论对专家打分进行评价以减少主观影响,采用模糊层次分析法得到了针对特定任务的标准队形。通过分析队形几何参数与编队作战能力的关系构建了相应的适应度函数以引导遗传算法对队形几何参数进行寻优。数值仿真结果表明,所提方法可有效解决特定任务下的编队队形选择和优化问题。To choose suitable multiple UCAVs formation configuration and optimize geometrical parameters of standard formation configuration,a kind of fuzzy analytic hierarchy process method that is combined with cloud models theory and genetic algorithm which contains a fitness function concerning the relationship between parameters of formation configuration and formation operational effectiveness indices.Firstly,the score given by specialists is evaluated with the help of cloud models theory,and then a kind of corresponding standard formation is given in the view of specific operational task.Secondly,fitness function of formation configuration geometrical parameters optimization is derived by analyzing the relationship between parameters of formation configuration and formation operational effectiveness indices.The numerical simulation results show that the proposed method can solve the problem of formation configuration selection and formation configuration optimization.

关 键 词：队形选择 队形优化 模糊层次分析法 云模型 遗传算法 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]