A Review of Distributed Cooperative Control Research on Unmanned Autonomous Systems

Ren Hong-ru; Liu Qing-hai; Zhou Qi; Lu Ren-quan

doi:10.12052/gdutxb.240085

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A Review of Distributed Cooperative Control Research on Unmanned Autonomous Systems

更新时间：2026-05-27

- A Review of Distributed Cooperative Control Research on Unmanned Autonomous Systems
- Vol. 41, Issue 4, Pages: 1-13(2024)
- 作者机构：
  
  1. 广东工业大学自动化学院,广东,广州,510006
  2. 广东工业大学粤港智能决策与协同控制联合实验室,广东,广州,510006
  3. 广东工业大学广东省智能决策与协同控制重点实验室,广东,广州,510006
- 作者简介：
- 基金信息：
- DOI：10.12052/gdutxb.240085
  CLC： TP242;TP273
- Published：2024
- 稿件说明：
移动端阅览
任鸿儒, 刘庆海, 周琪, 鲁仁全. 无人自主系统分布式协同控制研究综述[J]. 广东工业大学学报, 2024, 41(4): 1-13.

Ren Hong-ru, Liu Qing-hai, Zhou Qi, et al. A Review of Distributed Cooperative Control Research on Unmanned Autonomous Systems[J]. 2024, 41(4): 1-13.
任鸿儒, 刘庆海, 周琪, 鲁仁全. 无人自主系统分布式协同控制研究综述[J]. 广东工业大学学报, 2024, 41(4): 1-13. DOI： 10.12052/gdutxb.240085.

Ren Hong-ru, Liu Qing-hai, Zhou Qi, et al. A Review of Distributed Cooperative Control Research on Unmanned Autonomous Systems[J]. 2024, 41(4): 1-13. DOI： 10.12052/gdutxb.240085.

摘要

随着信息技术、人工智能和机器人技术的飞速发展，无人自主系统在军事、航空航天、海洋探索、灾难救援以及智能交通等领域展现出巨大的应用潜力。分布式协同控制作为实现多无人自主系统高效、灵活协作的关键技术，已成为研究的热点。本文综述了无人自主系统分布式协同控制的研究进展。首先探讨了在一致性问题、编队控制和分布式优化三个方面的核心理论，然后结合当前多无人自主系统的实际应用，给出了无人机、无人车、无人水面舰艇、无人潜航器和多模态协同控制的最新研究成果介绍，最后探讨了该领域的未来挑战和发展方向。

Abstract

With the rapid development of information technology

artificial intelligence

and robotics

unmanned autonomous systems have demonstrated tremendous application potential in fields such as military

aerospace

marine exploration

disaster rescue

and intelligent transportation. Distributed cooperative control

as a key technology for achieving efficient and flexible collaboration among multiple unmanned autonomous systems

has become a research focus. A review is conducted on the research progress in distributed cooperative control of unmanned autonomous systems. Firstly

it discusses the core theories in the aspects of consensus problems

formation control

and distributed optimization. Then

combining the practical applications of current multiple unmanned autonomous systems

it presents the latest research achievements in unmanned aerial vehicles

unmanned ground vehicles

unmanned surface vessels

unmanned underwater vehicles

and multi-modal cooperative control. Finally

it explores the future challenges and development in this field.

关键词

Keywords

references

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