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面向水下机器人的定位技术研究进展与发展趋势

衣正尧,  黄梦诗,  沈兆文,  杨天慈,  王权,  黄成涛

衣正尧, 黄梦诗, 沈兆文, 等. 面向水下机器人的定位技术研究进展与发展趋势[J]. 水下无人系统学报, 2026, 34(6): 1-15 doi: 10.11993/j.issn.2096-3920.2026-0069
引用本文: 衣正尧, 黄梦诗, 沈兆文, 等. 面向水下机器人的定位技术研究进展与发展趋势[J]. 水下无人系统学报, 2026, 34(6): 1-15 doi: 10.11993/j.issn.2096-3920.2026-0069
YI Zheng-yao, HUANG Meng-shi, SHEN Zhao-wen, YANG Tian-ci, WANG Quan, HUANG Chengtao. Research Progress And Development Trend Of Underwater Positioning Technology For Underwater Robots[J]. Journal of Unmanned Undersea Systems. doi: 10.11993/j.issn.2096-3920.2026-0069
Citation: YI Zheng-yao, HUANG Meng-shi, SHEN Zhao-wen, YANG Tian-ci, WANG Quan, HUANG Chengtao. Research Progress And Development Trend Of Underwater Positioning Technology For Underwater Robots[J]. Journal of Unmanned Undersea Systems. doi: 10.11993/j.issn.2096-3920.2026-0069

面向水下机器人的定位技术研究进展与发展趋势

doi: 10.11993/j.issn.2096-3920.2026-0069
详细信息
    作者简介:

    衣正尧(1982-),男,副教授,主要研究方向为船舶智能制造及其机器人技术、水下机器人

  • 中图分类号: U666.7;TJ630

Research Progress And Development Trend Of Underwater Positioning Technology For Underwater Robots

  • 摘要: 水下定位是水下机器人实现自主作业的核心支撑技术, 受海水电磁屏蔽、声波传播干扰与极端环境约束, 其难度远高于陆地与空中定位。文中系统梳理了水下定位技术从单一声学定位、多源融合定位到智能化集群化定位的演进历程, 分类阐述了声学基线、多普勒测速、惯性导航、地球物理场辅助及视觉光学辅助等基础定位技术的原理、性能与工程适配性, 并分析了多源组合定位与分布式集群定位的技术架构与应用场景, 总结了人工智能、量子传感等前沿技术的研究进展; 在此基础上, 从核心器件、长航时精度、环境鲁棒性及工程化体系维度剖析了当前技术面临的核心挑战, 同时量化对比了国内外技术差距; 最后前瞻性预判了未来四大发展趋势。文中构建了完整的水下定位技术体系框架, 明确了各类技术的性能边界与适配场景, 可为我国水下定位技术的自主创新与工程应用提供理论参考。

     

  • 图  1  LBL定位技术原理

    Figure  1.  Principle of LBL positioning technology

    图  2  SBL定位技术原理

    Figure  2.  Principle of SBL positioning technology

    图  3  USBL定位技术原理

    Figure  3.  Principle of USBL positioning technology

    图  4  INS组成与结构示意图

    Figure  4.  Schematic diagram of the composition and structure of INS

    图  5  地球物理场辅助定位技术原理示意图

    Figure  5.  Schematic of the principle of geophysical field aided positioning technology

    表  1  各类水下定位技术性能对比表

    Table  1.   Performance comparison of various underwater positioning technologies

    技术类型 定位精度 作用范围 核心优势 主要局限
    基础定位技术
    LBL定位 厘米级 百米~千米 精度最高、作用范围广、不依赖母船、
    支持多目标定位
    信标部署回收复杂、前期校准耗时
    SBL定位 分米~米级 十米~百米 系统结构简单、部署灵活、成本较低 精度随水深下降
    USBL定位 分米级 米~千米 体积小重量轻、集成度高、实时性好 精度低于LBL、受影响大
    DVL 测速精度0.1% 0~200米 测速精度高、更新快、提供三维
    速度姿态信息
    平坦地形/浑浊海域易失效
    单信标定位 分米~米级 百米~千米 系统极简、部署成本低 受水声信道干扰和姿态误差影响大
    SINS 误差随时间累积 无限制(自主) 完全自主、无信号暴露、不受环境干扰 误差随时间累积
    地形匹配导航 米级 无限制(依赖地形特征) 自主性强、精度较高、技术相对成熟 不适用于平坦地形、声呐探测
    精度随水深下降
    重力匹配导航 几百米~千米级 全海域 全海域适用、不受水深地形限制 重力信号微弱、基准图构建难度大
    地磁匹配导航 几十米~几百米 无限制(依赖地磁特征) 设备体积小、功耗低、无源无累积误差 受地磁变化和金属结构干扰
    视觉SLAM定位 厘米级 几米~几十米 短距离精度高、定位建图一体化、
    可实现环境感知
    受水体浊度和光照影响极大、
    浑浊海域失效
    激光/光学定位 毫米级 几米~几十米 精度极高、实时性好、空间分辨率高 仅适用于浅海短距离场景
    组合定位技术
    INS-DVL组合 分米级 无限制(自主) 最经典方案、自主性强、成本适中 无绝对位置修正
    INS-USBL/LBL组合 厘米~分米级 几百米~几千米 定期修正INS累积误差、精度高、
    适配深海精密作业
    依赖外部声学信标、部署复杂
    INS-地形匹配组合 米级 地形特征丰富区域 全自主长航时、无外部依赖 依赖高精度地形数据库
    多源异构融合 分米级 全海域 高冗余性、强鲁棒性综合性能最优 系统复杂度高、算力需求大
    下载: 导出CSV
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  • 收稿日期:  2026-04-09
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