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复杂环境下的多无人机协同巡逻航路规划

李友松 乔福超

海军航空工程学院学报Issue(2):187-192,6.
海军航空工程学院学报Issue(2):187-192,6.DOI:10.7682/j.issn.1673-1522.2014.02.018

复杂环境下的多无人机协同巡逻航路规划

Cooperative Patrol and Route Planning of Multi-UCAV Under the Complex Environment

李友松 1乔福超2

作者信息

  • 1. 东海舰队司令部,浙江宁波315122
  • 2. 海军航空工程学院研究生管理大队,山东烟台264001
  • 折叠

摘要

Abstract

In order to improve the efficiency of cooperative patrol of multi-unmanned combat air vehicles(UCAV)in com-plex environment, the environment was divided into several small regions that had different attention, such as the unknown regions, the known regions, the no-fly regions and so on. The search reward function and weighted average distance were used to ensure search efficiency and combat efficiency of the air route, and strengthen the patrols to the regions of high at-tention. The issue with particle swarm optimization algorithm was simulated, and the results showed that the route planning algorithm of cooperative patrol was effective.

关键词

航路规划/无人作战飞机/无人机巡逻

Key words

route planning/unmanned combat air vehicles/unmanned air vehicle patrol

分类

航空航天

引用本文复制引用

李友松,乔福超..复杂环境下的多无人机协同巡逻航路规划[J].海军航空工程学院学报,2014,(2):187-192,6.

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