导航

Acta Aeronautica et Astronautica Sinica ›› 2026, Vol. 47 ›› Issue (2): 332603.doi: 10.7527/S1000-6893.2025.32603

• Electronics and Electrical Engineering and Control • Previous Articles     Next Articles

Review and prospects of multi-aircraft cooperative guidance technology

Mengyi WANG1, Yufan ZHAO2(), Ziyang MENG3, Linbo WANG2   

  1. 1.Changfeng Electromechanical Technology Design Academy,Beijing 100854,China
    2.Beijing Institute of Electronic System Engineering,Beijing 100854,China
    3.Department of Precision Instrument,Tsinghua University,Beijing 100084,China
  • Received:2025-07-21 Revised:2025-09-09 Accepted:2025-10-16 Online:2025-10-28 Published:2025-10-24
  • Contact: Yufan ZHAO E-mail:zhaoyufanjack@163.com
  • Supported by:
    National Natural Science Foundation of China(U2241217)

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, recent domestic and international literature on related topics is analyzed in depth. A cluster label optimization analysis is conducted and a keyword clustering diagrams is generated. 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, considering the 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.

Key words: cooperative guidance, cooperative guidance technology, time constraints, spatiotemporal constraints, physical constraints, differential game

CLC Number: