引用本文:杨旭,王锐,张涛.面向无人机集群路径规划的智能优化算法综述[J].控制理论与应用,2020,37(11):2291~2302.[点击复制]
YANG Xu,WANG Rui,ZHANG Tao.Review of unmanned aerial vehicle swarm path planning based on intelligent optimization[J].Control Theory and Technology,2020,37(11):2291~2302.[点击复制]
面向无人机集群路径规划的智能优化算法综述
Review of unmanned aerial vehicle swarm path planning based on intelligent optimization
摘要点击 6029  全文点击 1534  投稿时间：2020-03-20  修订日期：2020-08-12
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DOI编号  10.7641/CTA.2020.00157
  2020,37(11):2291-2302
中文关键词  无人机集群  路径规划  智能优化  仿生算法
英文关键词  UAV swarm  path planning  intelligent optimization  nature inspired algorithm
基金项目  国家自然科学基金面上项目(61773390), 校重点科研计划(ZK18-02-09), 湖湘青年英才计划(2018RS3081), 自主科研计划(ZZKY-ZX-11-04)
作者单位E-mail
杨旭 国防科技大学系统工程学院 yangxunudt@gmail.com 
王锐* 国防科技大学系统工程学院 ruiwangnudt@gmail.com 
张涛 国防科技大学系统工程学院  
中文摘要
      无人机集群通过协同完成既定任务是未来智能化、无人化作战的重要方式. 路径规划是协同执行任务的首 要问题, 考虑到无人机集群路径规划的复杂性和多样性, 近年来, 国内外学者针对该问题开展了大量的研究, 本文首 先介绍了无人机集群路径规划模型, 包括常用的规划空间表示方法、规划目标和约束条件等, 其次重点梳理归纳了 基于智能优化算法的无人机集群路径规划相关研究, 并阐述了不同类型智能优化算法在路径规划问题上的优缺点, 最后, 分析展望了基于智能优化算法的无人机集群路径规划未来发展趋势.
英文摘要
      The cooperation of unmanned aerial vehicle (UAV) swarm has become an important style in future intelligent and unmanned combat. Path planning is the primary problem of collaborative task execution. Considering the complexity and diversity of UAV swarm path planning, in recent years, extensive research has been conducted regarding this issue. This paper therefore provides a survey of UAV swarm path planning. It first introduces the UAV swarm path planning model, including the planning space representation method, path planning objectives and constraints. Then the paper focuses on summarizing relevant research of UAV swarm path planning based on intelligent optimization algorithms, and also the advantages and problems of different types of intelligent optimization algorithms in path planning are described. Finally, future studies of UAV swarm path planning based on intelligent optimization is analyzed and prospected.