| 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] |
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| 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 6031 全文点击 1534 投稿时间：2020-03-20 修订日期：2020-08-12 |
| 查看全文 查看/发表评论 下载PDF阅读器 |
| 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) |
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| 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. |
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