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基于蒙特卡洛法的无人机飞行冲突解脱安全评估
引用本文:谷志鸣,高文明,魏潇龙,姚登凯.基于蒙特卡洛法的无人机飞行冲突解脱安全评估[J].火力与指挥控制,2017,42(4).
作者姓名:谷志鸣  高文明  魏潇龙  姚登凯
作者单位:1. 解放军91899部队,辽宁 葫芦岛,125001;2. 空军工程大学空管领航学院,西安,710051
基金项目:省部级自然科学基金资助项目
摘    要:冲突解脱技术是无人机与有人机共域飞行的前提保障。针对目前缺少对冲突解脱技术安全评估的方法,提出运用蒙特卡洛法对飞行冲突进行仿真模拟,得出冲突解脱算法的安全效率。提出基于改进蚁群算法的冲突解脱技术,实现无人机的飞行冲突解脱;利用蒙特卡洛法,对飞行冲突过程进行大规模仿真,计算冲突解脱效率,与基本蚁群算法进行对比,并从安全角度对结果进行分析。提出的思路可为未来无人机空域运行安全评估体系的构建提供一种理论参考。

关 键 词:无人机  蚁群算法  蒙特卡洛  冲突解脱

UAV Flight Conflict Resolution Safety Assessment Technique Based on Monte Carlo Method
GU Zhi-ming,GAO Wen-ming,WEI Xiao-long,YAO Deng-kai.UAV Flight Conflict Resolution Safety Assessment Technique Based on Monte Carlo Method[J].Fire Control & Command Control,2017,42(4).
Authors:GU Zhi-ming  GAO Wen-ming  WEI Xiao-long  YAO Deng-kai
Abstract:Conflict resolution technology is a prerequisite for UAV. Aiming at the lack of the safety assessment method of conflict resolution technology,this paper uses Monte Carlo method to simulate the flight conflict and reached the efficiency of conflict resolution algorithm. In this paper,an improved ant colony algorithm is proposed to achieve the flight conflict resolution;using the Monte Carlo method to simulate the flight conflict process and then compare the efficiency with basic ant colony algorithm. The ideas presented in this paper can provide a theoretical reference for the construction of safety assessment system in the UAV airspace operation in the future.
Keywords:UAV  ant colony algorithm  Monte Carlo  conflict resolution
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