低慢小目标复合拦截任务规划仿真分析

doi:10.3969/j.issn.1009-086x.2021.05.014

现代防御技术 ›› 2021, Vol. 49 ›› Issue (5): 104-110.DOI: 10.3969/j.issn.1009-086x.2021.05.014

低慢小目标复合拦截任务规划仿真分析

卞伟伟, 吕鑫, 刘蝉, 贾彦翔, 邱旭阳

北京机械设备研究所,北京 100854

收稿日期:2021-01-23 修回日期:2021-05-25 出版日期:2021-10-20 发布日期:2021-11-01
作者简介:卞伟伟(1984-),男,江苏连云港人。高工,博士,主要从事“低慢小”航空器协同防控技术研究。通信地址:100854 北京142信箱208分箱 E-mail:karovie@163.com
基金资助:
国防科工局重大基础科研项目(JCKY2016201A601)

Simulation Analysis of Mission Planning for Low Slow Small Target Compound Interception

BIAN Wei-wei, LÜ Xin, LIU Chan, JIA Yan-xiang, QIU Xu-yang

Beijing Institute of Mechanical Equipment,Beijing 100854,China

Received:2021-01-23 Revised:2021-05-25 Online:2021-10-20 Published:2021-11-01

摘要/Abstract

摘要： 针对不同场景与环境约束条件下单一的拦截手段无法满足低慢小目标防控需求,结合拦截装备的效能与约束,提出一种基于粒子群算法的多种拦截装备协同的复合拦截任务规划方法。采用基于拦截效能可行域进行编码方法来缩小任务规划的映射空间,提升算法迭代速度;为控制算法的搜索过程,根据浓度允许值改变粒子群的收缩与扩展运动以增强群体的覆盖范围。以学习因子、种群规模、惯性权重为主要参数对任务规划进行仿真进行分析。仿真结果表明,改进后的算法能够匹配全局寻优能力和收敛速度,在获取可行解的同时具有良好的时间性能。该方法可为提高复合拦截任务规划效率提供理论参考。

关键词: 低慢小, 复合拦截, 任务规划, 粒子群, 可行域, 粒子编码

Abstract: In view of the fact that a single interception method can not meet the needs of low slow small target prevention and control under different scenarios and environmental constraints,combined with the effectiveness and constraints of interception equipment,a composite interception task planning method based on particle swarm optimization algorithm is proposed.In order to reduce the mapping space of mission planning and improve the iterative speed of the algorithm,the coding method based on Interception effectiveness feasible region is adopted.And in order to control the search process of the algorithm,the shrinking and expanding motion of the particle swarm is changed by the concentration allowed value to enhance the coverage area.Taking learning factor,population size and inertia weight as main parameters,the task planning method is simulated and analyzed.The simulation results show that the improved algorithm can match the general optimization ability and convergence speed,and has good time performance while obtaining feasible solutions.This method can provide a theoretical reference for improving the efficiency of compound interception mission planning.

Key words: low slow small, compound interception, mission planning, particle swarm optimization, feasible region, particle code

中图分类号:

卞伟伟, 吕鑫, 刘蝉, 贾彦翔, 邱旭阳. 低慢小目标复合拦截任务规划仿真分析[J]. 现代防御技术, 2021, 49(5): 104-110.

BIAN Wei-wei, LÜ Xin, LIU Chan, JIA Yan-xiang, QIU Xu-yang. Simulation Analysis of Mission Planning for Low Slow Small Target Compound Interception[J]. Modern Defense Technology, 2021, 49(5): 104-110.

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低慢小目标复合拦截任务规划仿真分析

Simulation Analysis of Mission Planning for Low Slow Small Target Compound Interception

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