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arXiv 2606.12349cs.ROcs.SYeess.SY

面向无人水面艇操纵性评估的海洋机器人Unity仿真器中可追溯虚拟海试

Traceable Virtual Sea Trials in the Marine Robotics Unity Simulator for Manoeuvring Assessment of Unmanned Surface Vehicles

School of Engineering and Built Environment, Sheffield Hallam University(谢菲尔德哈勒姆大学工程与建筑环境学院)

Paria Rezayan

AI总结:

针对USV水动力导数辨识数据获取难的问题,在MARUS仿真器中建立标准化虚拟海试框架,通过TC/ZZ机动自动化执行、数据采集与后处理管道,生成符合IMO/ITTC指标的可重复数据集,案例验证了框架的有效性。

摘要:

精确识别水动力导数对于无人水面艇(USV)的控制与导航至关重要,但物理海试的高保真操纵数据受成本和安全性限制。回转试验(TC)和Z形试验(ZZ)仍是IMO和ITTC评估程序的基础。本文扩展了海洋机器人Unity仿真器(MARUS),引入标准化虚拟海试框架,用于TC/ZZ机动的自动化执行和数据生成,包括可追溯的命令-执行日志记录、面向系统辨识(SI)的数据调理以及自动提取符合IMO/ITTC的操纵性指标。一个关键贡献是专用的TC/ZZ数据采集和后处理管道,提高了基于仿真的机动的可重复性和可审计性,同时生成适用于水动力导数辨识和数字孪生工作流的SI就绪数据集。另一个特点是差动推力转向的显式命令-执行分离,其中输入记录为有序的等效舵命令,而实际执行则记录为基于施加推力的执行级代理。案例研究结果表明了可重复且合规的机动行为。对于TC试验,左舷和右舷之间的归一化进距差异约为3.9%,战术直径差异约为4.6%至4.7%。对于ZZ试验,±10度和±20度机动下的第一和第二超越角超调量均保持在1度以下,满足IMO标准,而峰值偏航速率约为4.1至5.8度/秒。总体而言,该框架提供了一种可重复且可审计的虚拟海试工作流,用于生成符合IMO/ITTC的数据集,并支持系统辨识、水动力导数估计和数字孪生校准。

英文摘要:

Accurate identification of hydrodynamic derivatives is essential for precise control and autonomous navigation of Unmanned Surface Vehicles (USVs). However, acquiring high-fidelity manoeuvring data from physical sea trials is often constrained by cost, safety, and environmental disturbances. Standard manoeuvring trials, particularly Turning Circle (TC) and Zig-Zag (ZZ), remain fundamental to IMO and ITTC assessment procedures because they provide comparable performance metrics reflective of underlying hydrodynamic behaviour. This paper extends the open-source Marine Robotics Unity Simulator (MARUS) by introducing a standardised Virtual Sea Trial framework for automated execution and data generation of TC/ZZ manoeuvres. The framework provides traceable command-actuation logging, system-identification (SI)-focused data conditioning, and automated extraction of IMO/ITTC-aligned manoeuvring metrics. A key contribution is a dedicated TC/ZZ data acquisition and post-processing pipeline, improving the repeatability and auditability of simulator-based manoeuvres while producing SI-ready datasets for hydrodynamic-derivative identification and digital-twin workflows. The framework also provides explicit command-execution separation for differential-thrust steering, where manoeuvre inputs are recorded as ordered rudder-equivalent commands and realised actuation is logged as an execution-level proxy derived from applied thrust. Case study results demonstrate repeatable and IMO-compliant manoeuvre behaviour. For TC tests, the normalised advance differs by approximately 3.9% between port and starboard turns, while the tactical diameter differs by 4.6-4.7%. For ZZ tests, first and second overshoot excesses remain below 1 degree for both +/-10-degree and +/-20-degree manoeuvres, satisfying IMO criteria, while peak yaw rates range from approximately 4.1 to 5.8 degrees/second.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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