基于组合赋权法的有人/无人机协同作战能力分析
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摘要
为了对有人/无人机协同作战能力(MAV/UAV Cooperative Engagement Capability,M/U-CEC)进行数学建模和量化评估,提出了一种基于组合赋权法的M/U-CEC计算方法。建立有人/无人机协同作战的参数体系,确定M/U-CEC的量化指标,分别使用层次分析法和信息熵理论得到参数主观和客观权重,最后根据融合算法得到组合权重并建立了作战能力模型。仿真结果表明相比于单纯使用层次分析法或信息熵确定权重,利用组合赋权法分析作战能力可信度更高。
In order to carry out the mathematical modeling and quantitative evaluation of the man/unmanned aerial vehicle's cooperative engagement capability(M/U-CEC),a M/U-CEC calculation method based on the combination weight is proposed. Firstly,the parameter system of MAV/UAV cooperative engagement is established and the quantization indexes of MAV/UAV cooperative engagement capability are determined. Then the subjective and objective weights of parameters are obtained respectively by using analytic hierarchy process(AHP) and information entropy theory.Finally,the combination weight based on the fusion algorithm is obtained and the engagement capability model is established. The simulation results show that using the combination weight method to analysis the engagement capabilities is more creditable than only using the AHP method or the information entropy method in determining the weights.
In order to carry out the mathematical modeling and quantitative evaluation of the man/unmanned aerial vehicle's cooperative engagement capability(M/U-CEC),a M/U-CEC calculation method based on the combination weight is proposed. Firstly,the parameter system of MAV/UAV cooperative engagement is established and the quantization indexes of MAV/UAV cooperative engagement capability are determined. Then the subjective and objective weights of parameters are obtained respectively by using analytic hierarchy process(AHP) and information entropy theory.Finally,the combination weight based on the fusion algorithm is obtained and the engagement capability model is established. The simulation results show that using the combination weight method to analysis the engagement capabilities is more creditable than only using the AHP method or the information entropy method in determining the weights.
引文
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[16]马向玲,雷宇曜,孙永芹,等.有人/无人机协同空地作战关键技术综述[J].电光与控制,2011,18(3):56-60.
[2]U.S. Office of the Secretary of Defense. Unmanned aircraft systems roadmap 2005-2030[R].Washington DC:Office of the Secretary of Defense,2005.
[3]阴小晖.有人机/无人机协同作战效能评估研究[D].南昌:南昌航空大学,2013.
[4]包战,王树文.有人/无人机协同作战能力生成问题研究[J].国防科技,2017,38(3):76-79.
[5]薛会琴.多属性决策中指标权重确定方法的研究[D].兰州:西北师范大学,2008.
[6]王焱.有人/无人机协同作战[J].电讯技术,2013,56(9):1253-1258.
[7]王子熙.美军有人直升机与无人机的协同作战[J].飞航导弹,2014,44(7):61-66.
[8]YUKSEK B,URE N K,INALHAN G. Cooperative interception of a highly manoeuvrable aerial target[C]//2018 AIAA Guidance,Navigation,and Control Conference,AIAA Sci Tech Forum,(AIAA 2018-1581),2018.
[9]蔡俊伟,龙海英,张昕.有人机/无人机协同作战系统关键技术[J].指挥信息系统与技术,2013,4(2):10-14.
[10]李文,陈建.有人机/无人机混合编队协同作战研究综述与展望[J].航天控制,2017,35(3):90-96.
[11]崔建国,林泽力,吕瑞,等.基于模糊灰色聚类和组合赋权法的飞机健康状态综合评估方法[J].航空学报,2014,35(3):764-772.
[12]卢纯,周开涛.基于相对熵组合赋权法的电网经济性评估[J].电力科学与工程,2017,33(11):18-23.
[13]赵德勇,宋辉.基于熵权的改进型多指标综合评估方法及应用[J].军械工程学院学报,2001,13(3):47-51.
[14]张宪,许瑞明.基于组合赋权法的联合作战协同效能评估指标[J].火力与指挥控制,2017,42(7):56-60.
[15]高杨,李东生,雍爱霞.基于组合权重的目标识别系统威胁评估[J].火力与指挥控制,2016,41(5):39-42+46.
[16]马向玲,雷宇曜,孙永芹,等.有人/无人机协同空地作战关键技术综述[J].电光与控制,2011,18(3):56-60.