应用科学学报 ›› 2023, Vol. 41 ›› Issue (6): 1068-1077.doi: 10.3969/j.issn.0255-8297.2023.06.013

• 控制与系统 • 上一篇    下一篇

虚实结合的无人水面艇自主航行测试系统设计

刘虹晓1, 杨诚1, 谭艾迪1, 鹿靖2, 李游1   

  1. 1. 中国船舶集团有限公司综合技术经济研究院, 北京 100083;
    2. 北京航空航天大学 可靠性与系统工程学院, 北京 100191
  • 收稿日期:2021-12-30 出版日期:2023-11-30 发布日期:2023-11-30
  • 通信作者: 刘虹晓,工程师,研究方向为海上无人系统安全性与可靠性。E-mail:liuhongxiao@cimtec.net.cn E-mail:liuhongxiao@cimtec.net.cn

Design of the Autonomous Navigation Test System for Unmanned Surface Vehicle Combining Virtual and Reality

LIU Hongxiao1, YANG Cheng1, TAN Aidi1, LU Jing2, LI You1   

  1. 1. China Institute of Marine Technology and Economy, Beijing 100083, China;
    2. Institute of Reliability and Systems Engineering, Beihang University, Beijing 100191, China
  • Received:2021-12-30 Online:2023-11-30 Published:2023-11-30

摘要: 无人水面艇自主航行系统的海上实装测试成本高、周期长,纯虚拟仿真测试在无人水面艇运动仿真环节真实性差,为了提高无人水面艇自主航行系统测试的效费比,综合虚拟仿真测试与实装测试的优势,设计了虚实结合的无人水面艇自主航行测试系统,在任务场景构建与环境感知传感器环节使用虚拟仿真技术,在无人艇传动系统与船舶海洋动力学环节采用实装在环路技术,通过虚实空间配准技术将无人水面艇在虚拟空间的数字孪生体与真实空间的物理实体进行实时空间位置、姿态同步,最后通过仿真实验表明了该测试系统的正确性与合理性。

关键词: 无人水面艇, 自主航行, 仿真测试, 数字孪生, 传感器仿真

Abstract: The cost of on-site testing for unmanned surface vehicle(USV) autonomous navigation systems is high, and pure virtual simulation tests lack authenticity in marine dynamics simulation. To address these challenges and improve the effectiveness-cost ratio of USV autonomous navigation system testing, a hybrid testing system combining virtual and real elements is proposed. The designed system leverages virtual simulation technology for task scene construction and environmental sensing sensors, while real-in-loop technology is used for the transmission system and marine dynamics of the USV. The system achieves real-time position and attitude synchronization between the digital twins of the USV and its physical entities through virtual and real space registration technology. Simulation results validate the correctness and rationality of the system, demonstrating its effectiveness in testing USV autonomous navigation systems while reducing costs.

Key words: unmanned surface vehicle(USV), autonomous navigation, simulation testing, digital twins, sensor simulation

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