引用本文:薛慧,张涛,王锐,李文桦.基于改进罚函数策略的综合射频阵列智能多目标优化配置[J].控制理论与应用,2021,38(12):1911~1918.[点击复制]
XUE Hui,ZHANG Tao,WANG Rui,LI Wen-hua.Intelligent multi-objective optimal allocation of integrated RF array based on improved penalty function strategy[J].Control Theory and Technology,2021,38(12):1911~1918.[点击复制]
基于改进罚函数策略的综合射频阵列智能多目标优化配置
Intelligent multi-objective optimal allocation of integrated RF array based on improved penalty function strategy
摘要点击 1528  全文点击 608  投稿时间：2021-05-15  修订日期：2021-11-08
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DOI编号  10.7641/CTA.2021.10407
  2021,38(12):1911-1918
中文关键词  综合射频  阵面  资源配置  智能  多目标优化
英文关键词  integrated radio frequency  array  resource allocation  intelligent  multi-objective optimization
基金项目  国家自然科学优秀青年基金项目(62122093), 国防科技大学自主科研计划项目(ZZKY–ZX–11–04), 季华实验室项目(X210101UZ210)资助.
作者单位E-mail
薛慧 国防科技大学系统工程学院 xuehui_2001@163.com 
张涛 国防科技大学系统工程学院  
王锐* 国防科技大学系统工程学院 ruiwangnudt@gmail.com 
李文桦 国防科技大学系统工程学院  
中文摘要
      综合射频系统是未来机载电子设备的发展趋势. 本文首次从系统工程运筹学的角度对无人机载综合射频 系统中的雷达、侦察、通信、干扰的作战任务及威力进行了研究分析; 通过任务矢量的构建可实现不同作战环境下 综合射频阵面的自主配置, 建立了基于任务矢量的综合射频系统阵面资源优化的物理模型和数学模型; 创建了基 于作用距离、功耗、作战效能的多目标优化模型; 分析了孔径约束、功率约束和作用距离约束条件, 构建了基于任 务矢量、距离矢量和优先级矢量的距离偏差值作为适应度函数. 通过基于改进罚函数的多目标进化算法对综合射 频系统的阵列资源配置进行了多目标优化. 最后对优化结果进行了对比分析, 可为工程实践提供参考.
英文摘要
      This article discusses the array resource allocation of integrated radio frequency (RF) system on the UAV which may include the radar, electronic reconnaissance, data link, and electronic jammer, etc. Firstly, the physical model and mathematical model of the integrated RF system are established; and the integrated RF system can realize automatic allocation under different combat environments based on the task vector. Secondly, the optimization targets of detection range, system operating power and synthesis operating efficiency, and the constraints of aperture, power and range are analyzed. Thirdly, the fitness function based on the task vector, range vector and priority vector is established. Finally, the optimization results of the array allocation of the integrated RF system under the different combat environments are given by the intelligent multi-objective optimization algorithms based on the improved penalty function strategy; and the results are compared and analyzed, which could provide reference for the engineering practice.