北京航空航天大学学报 ›› 2015, Vol. 41 ›› Issue (5): 911-918.doi: 10.13700/j.bh.1001-5965.2014.0325

• 论文 • 上一篇    下一篇

空战中协同干扰、探测、攻击任务分配

冉华明1, 周锐1, 董卓宁1, 车军2   

  1. 1. 北京航空航天大学 飞行器控制一体化技术重点实验室, 北京 100191;
    2. 中航工业西安飞行自动控制研究所, 西安 710065
  • 收稿日期:2014-06-06 修回日期:2014-08-25 出版日期:2015-05-20 发布日期:2015-06-02
  • 通讯作者: 周锐(1968—),男,湖北钟祥人,教授,zhr@buaa.edu.cn,主要研究方向为飞行器自主控制、多飞行器协同控制. E-mail:zhr@buaa.edu.cn
  • 作者简介:冉华明(1990—),男,重庆人,硕士研究生,ranhuaming7245@163.com
  • 基金资助:

    国家自然科学基金(61273349,61175109,61203223,61333004);航空科学基金(2013ZA18001)

Cooperative jamming-detecting-attacking task allocation in air combat

RAN Huaming1, ZHOU Rui1, DONG Zhuoning1, CHE Jun2   

  1. 1. Science and Technology on Aircraft Control Laboratory, Beijing University of Aeronautics and Astronautics, Beijing 100191, China;
    2. AVIC Xi'an Flight Automatic Control Research Institute, Xi'an 710065, China
  • Received:2014-06-06 Revised:2014-08-25 Online:2015-05-20 Published:2015-06-02

摘要:

针对空战中协同干扰任务分配问题,根据己方飞机的干扰功率、干扰工作频段、干扰样式,敌方飞机雷达的工作功率、工作频段、抗干扰样式,建立了干扰功率优势、干扰频率优势、干扰样式优势;再考虑己方飞机的干扰作战能力以及敌我双方的空战能力指数建立了总的干扰优势,建立了协同干扰任务分配模型.根据干扰后敌方飞机的距离性能以及敌我双方的空战态势,对己方飞机对敌方飞机的探测能力、攻击能力进行了研究,建立了多机协同探测加攻击任务分配模型.采用遗传算法对建立的任务模型问题进行优化求解.仿真结果表明,这些模型能够有效地完成协同干扰、探测加攻击任务分配.

关键词: 协同干扰, 干扰优势, 协同探测攻击, 探测攻击优势, 任务分配

Abstract:

To solve task allocation problem of cooperative jamming in air combat, according to jamming power, jamming frequency bands and jamming style of our aircraft together with radar working power, working frequency bands, anti-jamming style of enemy aircraft, advantage of jamming power, jamming frequency, and jamming style were established. Considering the jamming capability of our aircraft and air combat capability of both sides, the total jamming advantage was established, and cooperative jamming task allocation model was built. According to the distance performance of enemy aircraft after jamming and air combat situation for both sides, detecting capability and attacking capability of our aircraft to enemy aircraft were studied, and cooperative detecting and attacking task allocation model was set up. Genetic algorithm was used to optimize and solve those cooperative task allocation problems. The simulation results demonstrate that those models can accomplish cooperative jamming task allocation, cooperative detecting and attacking task allocation.

Key words: cooperative jamming, jamming advantage, cooperative detecting and attacking, detecting and attacking advantage, task allocation

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