多飞行器协同制导技术研究综述与展望

  • 王蒙一 ,
  • 赵宇帆 ,
  • 孟子阳 ,
  • 王林波
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  • 1. 中国长峰机电技术研究设计院
    2. 北京电子工程总体研究所
    3. 清华大学

收稿日期: 2025-07-21

  修回日期: 2025-10-19

  网络出版日期: 2025-10-24

基金资助

国家自然科学基金

Review and Prospects of Multi-Aircraft Cooperative Guidance Technology

  • WANG Meng-Yi ,
  • ZHAO Yu-Fan ,
  • MENG Zi-Yang ,
  • WANG Lin-Bo
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Received date: 2025-07-21

  Revised date: 2025-10-19

  Online published: 2025-10-24

Supported by

The National Natural Science Foundation of China

摘要

多飞行器协同制导技术是精确制导领域当前研究的热点和未来重要的发展方向。本文系统阐述了多飞行器协同制导技术的研究进展和发展方向。首先,深入分析了近年来相关主题的国内外文献,进行了聚类标签优化分析并绘制了关键词聚类图;其次,根据关键词聚类的分析结果对多飞行器协同制导技术的研究方向进行了分类,按照基于架构优化的多飞行器协同制导、考虑约束条件的多飞行器协同制导和基于微分博弈的多飞行器协同制导三个方向分别进行归纳综述,详细总结了各研究方向的研究脉络与技术路径;最后基于当前多飞行器协同制导技术的研究趋势,提炼了跨域多飞行器协同制导架构、多模复合协同制导和智能算法应用三个多飞行器协同制导技术的未来研究发展方向。

本文引用格式

王蒙一 , 赵宇帆 , 孟子阳 , 王林波 . 多飞行器协同制导技术研究综述与展望[J]. 航空学报, 0 : 1 -0 . DOI: 10.7527/S1000-6893.2025.32603

Abstract

Multi-aircraft cooperative guidance technology currently represents a research hotspot and crucial development direction in the field of precision guidance. This paper systematically elaborates research progress and developmental trends in multi-aircraft cooperative guidance technology. First, it conducts an in-depth analysis of recent domestic and international literature on related topics, performing cluster label optimization analysis and generating keyword clustering diagrams. Subsequently, based on the keyword clustering results, the research directions of multi-aircraft cooperative guidance technology are categorized into three distinct approaches: architecture optimization-based cooperative guidance, constraint-based cooperative guidance, and differential game-based cooperative guidance. Each research direction is comprehensively reviewed through inductive synthesis, with detailed summaries of their research frameworks and technical pathways. Finally, building upon current research trends in multi-aircraft cooperative guidance technology, three prospective development directions are identified: heterogeneous multi-aircraft cooperative guidance architectures, multi-mode composite cooperative guidance, and application of intelligent algorithms. These proposed directions establish a foundation for advancing future research in this field.

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