水面无人艇集群控制与博弈技术:研究进展与挑战

Cooperative Control and Game-Theoretic Methods of Multiple Unmanned Surface Vehicles: Recent Advances and Challenges

  • 摘要:
    目的 近年来,水面无人艇集群凭借自主作业、智能协同与灵活部署等优势,已成为海洋无人系统领域的重要研究方向。该系统通过组网通信与协同控制,组织多艘无人艇执行协同作业任务,在海洋资源开发、海洋环境监测、海上安防与应急救援等领域具有重要战略价值。尽管相关研究已取得一定进展,但在组网通信机制、集群协同策略与分布式控制方法等关键技术方面仍面临诸多挑战。
    方法 为此,本文系统梳理了水面无人艇集群的系统架构、功能组成与典型应用场景,重点综述了集群组网通信、协同控制、优化与博弈等关键技术的发展脉络、代表性方法及发展瓶颈。
    结果 首先,围绕拓扑组网优化与艇间通信交互机制,系统总结了水面无人艇集群组网与通信技术的研究进展。在此基础上,从路径协同、编队保持、拦截围捕等典型集群协同任务,以及运动控制算法两个层面,梳理了传统无人艇集群控制方法的主要进展与发展局限。进一步地,面向复杂海上任务环境下的复杂任务需求,综述了基于优化理论、非合作博弈理论等新兴集群控制方法的研究现状。
    结论 结合当前技术发展趋势,本文最后展望了水面无人艇集群技术的未来研究方向,并总结了亟待突破的关键问题,以期为水面无人艇集群协同控制与智能决策研究提供参考。

     

    Abstract: In recent years, the coordination of multiple unmanned surface vehicles (USVs) has attracted increasing attention in fields of marine unmanned systems, owing to their advantages in autonomous operation and intelligent coordination, and flexible deployment. By leveraging networking communication and cooperative control strategies, multiple USVs can collaboratively execute complex maritime missions, demonstrating significant strategic value in marine resource exploration, ocean environmental monitoring, maritime security, and emergency rescue. Although substantial progress has been achieved in recent years, many challenges still remain in key technologies, including networking and communication mechanisms, swarm coordination strategies, and distributed control methods. To address these issues, this paper systematically reviews the system architecture, functional composition, and typical application scenarios of multiple USVs. In particular, the development trends, representative methods, and critical bottlenecks in key areas, including swarm communication and networking, swarm control, cooperative optimization, and game-theoretic decision-making, are comprehensively summarized. First, the research progress in communication and networking technologies for multiple USVs are reviewed from the perspectives of topology optimization and inter-vehicle communication interaction mechanisms. Subsequently, the research progress and inherent limitations of conventional USVs coordination control approaches are reviewed from the perspectives of path coordination, formation, dynamic interception, target fencing missions and vehicles’ motion control. Furthermore, in response to the growing demand in complex maritime environments, emerging research paradigms grounded in optimization theory and non-cooperative game frameworks are summarized, highlighting their potential in reconciling individual objectives with collective performance. Finally, the current research landscape is synthesized, and future development trends together with key technical challenges of USV cooperative techniques are summarized.

     

/

返回文章
返回