Ship manoeuvring model identification under wind disturbance

Mingda Zhu, Tongtong Wang, Houxiang Zhang, Guoyuan Li
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Abstract

Due to the recent technological advancement into the ship digitalization and automation, there has been an increasing demand for more accurate determination of the ship mathematical model. In order to establish a more realistic ship manoeuvring model, it will be a vital task to estimate the hydrodynamic coefficients while considering the effect of environmental disturbances, such as the wind. To account for the measurable wind perturbation which current research often neglects, in this paper, a deterministic model is constructed, based on which the SVM method is implemented to identify the hydrodynamic coefficients. The parameter identification is conducted on a 3-degree of freedom Abkowitz model using data collected from a sequential zigzag manoeuvre, and the results are verified against the benchmark value. The model performance is further validated by trajectory comparisons. Simulation results show the effectiveness of the method in cases where the wind speed is less than 8m/s and the measurement noise is less than 13%.
风扰动下船舶操纵模型辨识
随着近年来船舶数字化和自动化技术的进步,对船舶数学模型的精确确定提出了越来越高的要求。为了建立更真实的船舶操纵模型,在考虑风等环境扰动影响的情况下进行水动力系数的估计将是一项重要的任务。为了考虑当前研究中经常忽略的可测量风扰动,本文构建了一个确定性模型,并在此基础上实现了支持向量机方法来识别水动力系数。利用连续之字形机动采集的数据,对3自由度Abkowitz模型进行参数辨识,并与基准值进行验证。通过轨迹对比进一步验证了模型的性能。仿真结果表明,在风速小于8m/s、测量噪声小于13%的情况下,该方法是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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