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 technology of multiple unmanned surface vehicles: recent advances and challenges

  • 摘要: 近年来,水面无人艇集群凭借自主作业与智能协同等优势,已成为我国海洋无人系统领域的重要研究方向。该系统通过远程组网通信与协同控制策略,组织多艘自主无人艇开展高效协作,在海洋资源开发、海洋环境监测与海上安防等领域具有重要战略价值。尽管相关研究已取得一系列进展,但在通信机制、集群协同策略与控制方法等关键技术方面仍面临诸多挑战。为此,本文系统梳理了水面无人艇集群的总体体系架构与功能组成,综述了典型应用场景以及集群通信与组网、集群控制、协同优化与博弈决策等关键技术领域的发展脉络与核心瓶颈。首先,围绕拓扑组网优化与艇间通信交互算法,对无人艇集群组网与通信技术进行了系统综述,分析了组网效率以及多约束下的组网通信资源调度机制在集群协同控制中的关键作用。在此基础上,从路径协同、编队保持、动态拦截与围捕等典型任务层面,以及集群运动控制层面,系统梳理了传统无人艇集群控制方法的研究进展与存在的局限性。针对复杂海上任务环境下无人艇集群面临的个体自主决策需求,本文进一步总结了基于优化理论与非合作博弈等新兴的无人艇集群控制研究方向。最后,结合当前技术发展态势,对水面无人艇集群技术的未来发展趋势与亟待突破的关键问题进行了展望。

     

    Abstract: In recent years, the coordination of unmanned surface vehicles (USVs) has attracted increasing attention in fields of marine unmanned systems, owing to their capabilities in autonomous operation and intelligent coordination. By leveraging remote networking communication and cooperative control strategies, multiple USVs can be orchestrated to accomplish complex maritime missions in a collaborative and efficient manner, thereby exhibiting significant strategic potential in marine resource exploration, ocean environmental monitoring, and maritime security. Despite substantial advances achieved in recent years, critical challenges persist in communication mechanisms, swarm coordination strategies, and control methodologies.To address these issues, this paper presents a comprehensive review of the overall system architecture of USV clusters. Typical application scenarios are examined, and the developmental trajectory and fundamental technical bottlenecks in key areas, including swarm communication and networking, cooperative control, collaborative optimization, and game-theoretic approaches. First, the state-of-the-art in networking and communication technologies for USV swarms is reviewed, where the roles of networking efficiency and communication resource scheduling under multiple constraints are discussed in the context of their impact on cooperative control performance. 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 for autonomous decision-making 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 coordination systems are outlined.

     

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