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基于改进共生生物搜索算法的空战机动决策

高阳阳 余敏建 韩其松 董肖杰

高阳阳, 余敏建, 韩其松, 等 . 基于改进共生生物搜索算法的空战机动决策[J]. 北京航空航天大学学报, 2019, 45(3): 429-436. doi: 10.13700/j.bh.1001-5965.2018.0395
引用本文: 高阳阳, 余敏建, 韩其松, 等 . 基于改进共生生物搜索算法的空战机动决策[J]. 北京航空航天大学学报, 2019, 45(3): 429-436. doi: 10.13700/j.bh.1001-5965.2018.0395
GAO Yangyang, YU Minjian, HAN Qisong, et al. Air combat maneuver decision-making based on improved symbiotic organisms search algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(3): 429-436. doi: 10.13700/j.bh.1001-5965.2018.0395(in Chinese)
Citation: GAO Yangyang, YU Minjian, HAN Qisong, et al. Air combat maneuver decision-making based on improved symbiotic organisms search algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(3): 429-436. doi: 10.13700/j.bh.1001-5965.2018.0395(in Chinese)

基于改进共生生物搜索算法的空战机动决策

doi: 10.13700/j.bh.1001-5965.2018.0395
基金项目: 

装备科研项目 2017024113B41057

详细信息
    作者简介:

    高阳阳  男, 硕士研究生。主要研究方向:航空兵指挥自动化

    余敏建  男, 硕士, 教授。主要研究方向:航空兵指挥自动化

    韩其松  男, 硕士, 讲师。主要研究方向:航空兵作战筹划

    董肖杰  男, 硕士研究生。主要研究方向:航空兵作战筹划

    通讯作者:

    余敏建, E-mail:1090389519@qq.com

  • 中图分类号: V271.4

Air combat maneuver decision-making based on improved symbiotic organisms search algorithm

Funds: 

Equipment Research Project 2017024113B41057

More Information
  • 摘要:

    针对现代空战机动决策问题,提出了一种基于改进共生生物搜索(SOS)算法的空战机动决策方法。首先,分析了传统基本机动动作库存在的不足,对其进行了改进和扩充,设计了11种常用的基本机动动作;然后,综合考虑角度、距离、速度、高度和战机性能优势,构造了战机机动决策优势函数;最后,针对传统共生生物搜索算法在收敛速度、收敛精度以及局部最优上存在的缺陷,将轮盘赌选择方法、动态变异率和梯度思想引入到传统算法当中,对算法有效性和算法性能进行了仿真分析。仿真结果表明,改进的共生生物搜索算法在收敛速度、收敛精度以及跳出局部最优上更具优势,能够满足空战机动决策需求。

     

  • 图 1  基本机动动作库

    Figure 1.  Basic maneuver inventory

    图 2  空战优势评价指标体系

    Figure 2.  Air combat superiority evaluation index system

    图 3  敌我机几何态势划分示意图

    Figure 3.  Schematic of geometric situation division of enemy and our fighter

    图 4  轮盘赌操作示意图

    Figure 4.  Schematic of roulette wheel

    图 5  改进共生生物搜索算法流程

    Figure 5.  Flowchart of improved SOS algorithm

    图 6  敌我双方空战对抗三维航迹展示

    Figure 6.  Three-dimensional track display of both sides in air combat

    图 7  敌我双方航向角、飞行高度、飞行速度和空战优势变化曲线

    Figure 7.  Heading angle, height, speed and air combat superiority change curves of both sides

    图 8  3种算法收敛精度对比

    Figure 8.  Comparison of convergence accuracy of three algorithms

    图 9  3种算法最优值和消耗时间对比

    Figure 9.  Comparison of optimal values and time consumption of three algorithms

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  • 被引次数: 0
出版历程
  • 收稿日期:  2018-06-27
  • 录用日期:  2018-09-19
  • 网络出版日期:  2019-03-20

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