系统工程与电子技术

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威胁联网下舰载无人机对海突击航路规划

韩玉龙, 严建钢, 杨士锋, 潘长鹏, 王磊   

  1. (海军航空工程学院指挥系,山东 烟台 264001)
  • 出版日期:2016-12-28 发布日期:2010-01-03

Path planning for ship-based UAV air-to-sea attack with threat netting

HAN Yulong, YAN Jiangang, YANG Shifeng, PAN Changpeng, WANG Lei   

  1. (Commanding Department, Naval Aeronautical and Astronautical University, Yantai 264001, China)
  • Online:2016-12-28 Published:2010-01-03

摘要:

以复杂海战场环境下舰载无人机对海突击作战为背景,针对舰载无人机航路规划中容易忽略的威胁之间相互联系的问题,分析了威胁联网下航路规划领域的研究现状,针对其不足,建立了新的威胁分类方法,将威胁划分为机动威胁和固定威胁;构建了新的威胁联网模型,特别对距离舰载无人机航路较远,但联网后可以对舰载无人机产生威胁的威胁进行了着重研究,创新解决了机动威胁在威胁联网情况下的反应问题;最后基于遗传算法进行了仿真,分析对比了威胁联网与否对航路规划的影响,规划出了在威胁联网情况下的可行航路。

Abstract:

On the background of ship-based unmanned aerial vehicle (UAV) air-to-sea attack in the complicated sea battlefield, to solve the problem of relationship among threats which is often ignored in usual UAV path planning, the present research of path planning with threat netting is analyzed. A new classification of threats is put forward, that is to say, threats can be classified into mobile threats and fixed threats. Then the improved threat netting model is built up, which can well fulfill all the netting threats, especially for those far -away-from the ship-based UAV path but can influence it after intelligence exchange. This model can solve the response problem of mobile threats with threat netting. Simulation is made to analyze the effect of the threat netting model on path planning with the genetic algorithm (GA), a tactical feasible path is planned for ship-board UAV with threat netting, which shows the necessity and feasibility of the threat netting model.