航空学报 > 2022, Vol. 43 Issue (S1): 726905-726905   doi: 10.7527/S1000-6893.2021.26905

不完全信息下基于微分对策的机动目标协同捕获

胡艳艳1, 张莉1, 夏辉2, 张乃文2, 鄢镕易2   

  1. 1. 北京科技大学 自动化学院,北京 100083;
    2. 北京电子工程总体研究所,北京 100854
  • 收稿日期:2022-01-07 修回日期:2022-01-21 发布日期:2022-03-30
  • 通讯作者: 张乃文,E-mail:zhangnaiwen@casic.com.cn E-mail:zhangnaiwen@casic.com.cn
  • 基金资助:
    国家自然科学基金 (61773055);国防科技创新特区项目

Cooperative capture of maneuvering targets with incomplete information based on differential game

HU Yanyan1, ZHANG Li1, XIA Hui2, ZHANG Naiwen2, YAN Rongyi2   

  1. 1. School of Automation, University of Science and Technology Beijing, Beijing 100083, China;
    2. Beijing Institute of Electronic System Engineering, Beijing 100854, China
  • Received:2022-01-07 Revised:2022-01-21 Published:2022-03-30
  • Supported by:
    National Natural Science Foundation of China (61773055); National Defense Science and Technology Innovation Special Zone Project

摘要: 研究了不完全信息下基于微分对策的机动目标协同捕获问题。首先,给出了多飞行器协同捕获问题的微分对策建模及相应微分对策协同制导律。其次,针对零控脱靶量计算中目标加速度未知的情况,考虑目标可能发生的未知机动,建立了多模型滤波模型集,并利用交互式多模型粒子滤波算法得到了目标的实时加速度估计。最后,仿真实验验证了所提出估计算法的有效性,并在估计结果的基础上,利用所给出的协同制导律,实现了对目标的协同捕获。

关键词: 机动目标, 加速度估计, 微分对策, 协同捕获, 不完全信息

Abstract: In this paper, the problem of cooperative capture of maneuvering target with incomplete information is studied based on differential games. Firstly, the differential game model and the corresponding differential game cooperative guidance law for cooperative capture with multiple aircrafts are given. Secondly, considering that the acceleration of the target is unknown in the calculation of zero-control miss distance, the model set for multi-model filtering is established, with the possible maneuvers of target being taken into account. Then, estimation of target acceleration is obtained by the interacting multi-modal particle filtering algorithm. Finally, the effectiveness of the proposed estimation method is verified by the simulation scenario, and the target is successfully captured using the presented guidance law with the estimated target acceleration.

Key words: maneuver target, acceleration estimation, differential game, cooperative capture, incomplete information

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