飞行器集群协同制导新进展

吕金虎; 于江龙; 董希旺

doi:10.16383/j.aas.c240499

飞行器集群协同制导新进展

doi: 10.16383/j.aas.c240499 cstr: 32138.14.j.aas.c240499

吕金虎^1,,
于江龙^2,,
董希旺^{1, 2, 3,}

1.
北京航空航天大学自动化科学与电气工程学院北京 100191
2.
北京航空航天大学无人系统研究院北京 100191
3.
北京航空航天大学人工智能学院北京 100191

基金项目: 国家自然科学基金项目(62141604, U2241217, 62103016, 62473029)资助

详细信息

作者简介:
吕金虎：北京航空航天大学教授, 主要研究方向为复杂系统、协同制导控制、工业互联网、大数据.E-mail: lvjinhu@buaa.edu.cn

于江龙：北京航空航天大学副教授, 主要研究方向为飞行器集群, 协同制导. E-mail: sdjxyjl@buaa.edu.cn

董希旺：北京航空航天大学教授, 主要研究方向为集群智能、协同控制、协同制导.E-mail: xwdong@buaa.edu.cn

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- 文章访问数: 40
- HTML全文浏览量: 47
- 被引次数: 0
出版历程
- 网络出版日期: 2025-02-12

New Progress in Cooperative Guidance for Aircraft Swarm System

Lü Jin-Hu^1
,,
YU Jiang-Long^2
,,
DONG Xi-Wang^{1, 2, 3
,}

1.
School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191
2.
Institute of Unmanned System, Beihang University, Beijing, 100191
3.
Institute of Artificial Intelligence, Beihang University, Beijing, 100191

Funds: Supported by National Natural Science Foundation of China (2141604, U2241217, 62103016, 62473029)

More Information

Author Bio:
LÜ Jin-Hu　Professor at Beihang University. His current research interests include complex networks, cooperative guidance and control, industrial internet, and big data

YU Jiang-Long　Associate professor at Beihang University. His current research interests include aircraft swarm system and cooperative guidance

DONG Xi-Wang　Professor at Beihang University. His current research interests include swarm intelligence, cooperative control, and cooperative guidance

摘要

摘要: 协同制导是飞行器集群遂行协同任务中最关键环节之一, 也是飞行器制导控制领域近年来最重要研究方向之一. 协同制导经历了从简单约束到复杂约束、单一任务到复杂任务的发展过程. 首先, 本文从协同制导的发展历程和任务级别角度进行分类, 将现有协同制导方法概括为打击时间/角度约束下的协同制导、编队构型约束下的协同制导、角色和任务互补下的协同制导、博弈对抗条件下的协同制导等四类协同制导方法. 其次, 总结了国内外学者对相关领域理论成果的最新进展, 从研究方法层面综述了相关成果的优缺点和适用范围. 最后, 对协同制导领域的技术挑战与难点进行了深入的分析, 并对协同制导技术的未来发展进行了前瞻性展望.
- 飞行器集群 /
- 协同制导 /
- 新进展 /
- 发展展望
Abstract: Cooperative guidance is one of the most critical links in the execution of cooperative tasks for aircraft swarm system, and is also one of the most important research directions in the field of aircraft guidance and control in recent years. Cooperative guidance has evolved from simple constraints to complex constraints, from single tasks to complex tasks. First, this paper classifies the cooperative guidance issues from the perspective of its development history and task level, summarizing existing cooperative guidance methods into four categories: cooperative guidance under impact time/angle constraint, cooperative guidance under formation constraint, cooperative guidance under role and task complementarity, and cooperative guidance under game theory conditions. Second, the paper summarizes the latest progress in related theoretical results by domestic and foreign scholars, and reviews the advantages and disadvantages and applicable scope of related research methods from the perspective of research method. Finally, the paper conducts in-depth analysis of the technical challenges and difficulties in the field of cooperative guidance, and provides a forward-looking perspective on the future development of cooperative guidance technology.
- Aircraft swarm system /
- cooperative guidance /
- new progress /
- development prospects

HTML全文

图 1 飞行器集群协同制导发展历程

Fig. 1 Development of aircraft cluster cooperative guidance

下载: 全尺寸图片幻灯片

图 2 终端时空约束下的飞行器集群协同制导方法

Fig. 2 Cooperative guidance method for vehicle clusters under terminal spatio-temporal constraints

下载: 全尺寸图片幻灯片

图 3 编队构型约束下的飞行器集群编队协同制导方法

Fig. 3 A cooperative guidance method for vehicle cluster formation under formation configuration constraints

下载: 全尺寸图片幻灯片

图 4 角色和任务互补的飞行器集群协同制导方法

Fig. 4 Role- and mission-complementary approach to cooperative guidance of clusters of vehicles

下载: 全尺寸图片幻灯片

图 5 对抗条件下的飞行器集群协同博弈制导方法

Fig. 5 A cooperative game guidance method for clusters of vehicles under adversarial conditions

下载: 全尺寸图片幻灯片

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