系统工程与电子技术 ›› 2020, Vol. 42 ›› Issue (2): 381-389.doi: 10.3969/j.issn.1001-506X.2020.02.17

• 系统工程 • 上一篇    下一篇

多机协同空战机动决策流程

奚之飞1(), 徐安1(), 寇英信1(), 李战武1,2(), 杨爱武1()   

  1. 1. 空军工程大学航空工程学院, 陕西 西安 710038
    2. 西北工业大学电子信息学院, 陕西 西安 710072
  • 收稿日期:2019-04-23 出版日期:2020-02-01 发布日期:2020-01-23
  • 作者简介:奚之飞(1996-),男,硕士研究生,主要研究方向为火力指挥控制原理与技术。E-mail:18149365256@163.com|徐安(1984-),男,讲师,博士,主要研究方向为火力指挥控制原理与技术。E-mail:15349215326@163.com|寇英信(1965-),男,教授,博士,主要研究方向为火力指挥控制原理与技术。E-mail:554941039@qq.com|李战武(1976-),男,教授,博士,主要研究方向为火力指挥控制原理与技术。E-mail:18157494594@163.com|杨爱武(1996-),男,硕士研究生,主要研究方向为火力指挥控制原理与技术。E-mail:1226966825@qq.com

Decision process of multi-aircraft cooperative air combat maneuver

Zhifei XI1(), An XU1(), Yingxin KOU1(), Zhanwu LI1,2(), Aiwu YANG1()   

  1. 1. Aeronautics Engineering College, Air Force Engineering University, Xi'an 710038, China
    2. School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710072, China
  • Received:2019-04-23 Online:2020-02-01 Published:2020-01-23

摘要:

针对现有空战决策方法对多机空战情况考虑不全的问题,在接敌前空战背景下,从3个方面对现有空战决策方法进行改进。一是利用威力势场取代优势函数评估空战态势,体现装备性能对决策的影响;二是从充分发挥多目标攻击能力、提升协同效能入手进行初步目标分配;三是引入目标重要性系数与收益比重系数,将雷达的多目标处理能力与攻击资源分配合理性纳入考虑。最后使用有限外推与粒子群算法解算指标函数,仿真结果证明了改进内容的有效性。研究结果表明,改进后的决策

关键词: 机动决策, 多机空战, 威力势场, 多目标处理能力, 协同效能

Abstract:

In view of the problem that the existing air combat decision-making methods do not have an complete consideration for multi-fighter air combat, in the context of air combat before contacting enemy, this paper improves the existing methods from three aspects. First, it substitutes the combat power field for superiority functions. This reflects the influence of equipment performance on decision-making. Second, it achieves preliminary target assignment based on giving full play to the multi-target attack ability and improving cooperative efficiency. Third, it introduces the coefficient of target importance and yield, aiming to take the multi-objective processing capability of radar and the rationality of attack resources allocation into consideration. Finally, it solves the index function based on finite extrapolation and particle swarm optimization. Simulation result proves the effectiveness of the improved content. The result of research shows that the improved decision-making method is more consistent with the air combat reality. It also has a better cooperative efficiency than the method before improvement.

Key words: maneuver decision, multi-aircraft air warfare, combat power field, multi-objective processing capability, cooperative efficiency

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