现代防御技术 ›› 2018, Vol. 46 ›› Issue (1): 74-78.DOI: 10.3969/j.issn.1009-086x.2018.01.012

• 导航、制导与控制 • 上一篇    下一篇

改进蚁群算法的无人机突防航路规划

欧阳志宏, 郭强   

  1. 国防科技大学 电子对抗学院,安徽 合肥 230037
  • 收稿日期:2017-03-11 修回日期:2017-05-26 出版日期:2018-02-28 发布日期:2020-11-25
  • 作者简介:欧阳志宏(1983-),男,河南确山人。 讲师,硕士,研究方向为电子战作战仿真,复杂电磁环境构建。通信地址:230037 安徽合肥蜀山区黄山路460号国防科技大学电子对抗学院侦察系态势室 E-mail:32988256@qq.com

Penetration Route Planning of UAV Based on Improved Ant Colony Algorithm

OUYANG Zhi-hong, GUO Qiang   

  1. NUDT,Electronic Engineering Institute,Anhui Hefei 230037,China
  • Received:2017-03-11 Revised:2017-05-26 Online:2018-02-28 Published:2020-11-25

摘要: 军用无人机在执行伴随突防任务前应充分考虑威胁和性能约束条件规划飞行航路。提出了基于改进蚁群算法的航路规划方法,在继承经典蚁群算法的基础上,首先引入目标威胁因素以修正转移可见性系数,积极影响蚁群转移概率,提升规划航路的整体安全性;再通过合理增加目标点及其周围固有信息素,有效缩小蚁群末段搜索空间,提高规划的时效性。仿真结果表明了方法的可行性,通过转移可见性系数计算中的权重调整,可分别得出最优搜索结果,满足指挥员不同作战任务和要求下的航路需求。

关键词: 无人机, 突防航路, 航路规划, 蚁群算法, 转移概率, 末段搜索

Abstract: It is required to plan the best route for the military UAV when carrying out accompanying penetration assignment, and the restraints of threat and arm performance should be considered seriously. An improved ant colony algorithm is proposed. Firstly, the threat effect is imported to correct the calculation of transfer visibility factor. The transfer probability is influenced sequentially and the entire security of the route is improved. Then, the pheromone is increased around the target node in reason to reduce the searching space and obtain the optimum route faster. The simulation results show the feasibility of the route planning method finally. The optimum routes are generated by weight change in transfer visibility factor calculation and can satisfy the commander needs for different backgrounds and tasks.

Key words: unmanned aerial vehicle(UAV), penetration route, route planning, ant colony algorithm, transfer probability, terminal searching

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