利用反三角变换MGM(1,n)模型预测船舶纵摇和升沉运动

Jihong Shen, Yan Li, Xiang-yin Meng
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引用次数: 3

摘要

船舶运动预测对船舶的安全控制具有重要的现实意义。纵摇和升沉运动是船舶垂直运动系统的两个主要特征。考虑到船舶运动系统中包括波浪在内的影响因素之间的耦合关系,提出了反三角变换MGM(1,n)模型来预测纵摇和升沉运动。应用范围变换对模型输入的不同数量进行归一化。为了解决数据周期振荡的问题,引入了改进的反三角变换。经过两次变换后,数据与灰色模型拟合较好。采用MGM(1,n)模型进行预测。在对预测结果的分析中,在20%的相对误差范围内,预测数据可以得到70组,大约需要4-5秒。音调和升沉运动的正确振荡形状持续不止一个周期。结果表明,该模型能满足船舶运动预测的精度要求,是一种有效的、实用的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predict pitch and heave motion of ship via Inverse Triangle Transform MGM(1,n) model
The prediction of the ship motion has a significant practical meaning to the safety of the ship controlling. The pitch and heave motions are the main two features in the vertical movement system of the ship. Considering the coupling relationship between the influence factors in the ship motion system including the wave, the Inverse Triangle Transform MGM(1,n) model is proposed to predict the pitch and heave motion. The Range Transform is applied to normalize the different quantities of the model inputs. The modified Inverse Triangle Transform is introduced to solve the problem that the data are periodic oscillating. After these two transforms, the data fit the grey model well. The MGM(1,n) model is used to predict. In the analysis of the predicted result, within the relative error of 20%, the predicted data can get 70 groups, which is about 4–5 seconds. The right oscillating shape of the pitch and the heave motions last more than one period. The result shows that the model can predict the ship motion in required precision, and the model is effective and practicable.
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