海上无人水面艇集群控制研究进展与未来趋势
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作者单位:

1.浙江大学控制科学与工程学院;2.武汉科技大学 人工智能与自动化学院

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中图分类号:

U674.91

基金项目:

国家自然科学(U2441244,U23A20326,62173259);浙江省自然科学基金(LZ24F030006)


Research progress and future trends in swarm control for maritime unmanned surface vehicles
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    摘要:

    海上无人水面艇集群作为推动海洋智能化发展的核心技术,在军事侦察、环境监测、海上搜救等领域展现出重要应用价值。然而,海洋环境所固有的强动态性、不确定性及通信约束特性,对海上无人水面艇集群的高性能集群控制构成严峻挑战。为此,系统梳理了该领域的研究进展:阐释了海洋环境特性,归纳了海上无人水面艇国内外发展现状,剖析了复杂海洋环境下无人水面艇集群系统的核心控制需求与关键挑战;进一步全面综述了基于轨迹引导、基于路径引导和基于目标引导三类代表性集群控制方法的研究进展;进而展望了海上无人水面艇集群控制未来的研究方向和发展趋势。

    Abstract:

    Swarms of maritime unmanned surface vehicles (USVs), as a core technology driving the development of marine intelligence, demonstrate significant application value in military reconnaissance, environmental monitoring, maritime search and rescue, and related fields. However, the inherent characteristics of the marine environment, including highly dynamic conditions, environmental uncertainties, and communication constraints, pose formidable challenges to achieving high-performance swarm control in maritime USVs. To address these challenges, recent research advances in this field are systematically reviewed. The characteristics of the marine environment are described, the domestic and international developments in USVs are summarized, and the core control requirements and key challenges in complex marine scenarios are analyzed. Furthermore, a comprehensive survey of three representative swarm control methodologies is presented: trajectory-based guidance control, path-based guidance control, and target-based guidance control. Finally, promising research directions and future development trends in maritime USV swarm control are discussed and proposed.

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历史
  • 收稿日期:2025-09-01
  • 最后修改日期:2026-01-07
  • 录用日期:2026-01-14
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