Direct Estimation Method for the Ship Motion Parameters based on Time Series Analysis: - Verification based on one degree of free model -@@@－ 一自由度モデルによる検証－
Direct Estimation Method for the Ship Motion Parameters based on Time Series Analysis: - Verification based on one degree of free model -@@@－ 一自由度モデルによる検証－
复制标题
基于时间序列分析的船舶运动参数直接估计方法： - 基于一度自由模型验证 -@@@－ 一度自由模型验证 -
DOI：
10.2534/jjasnaoe.9.127
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发表时间：
2009
影响因子：
5.5
通讯作者：
G. Kitagawa
中科院分区：
文献类型：
--
作者：
D. Terada;G. Kitagawa
本文提出了一种船舶振动方程中参数的统计估计方法，如阻尼系数和固有频率。在进行船舶的安全操作时，水手掌握船舶的性能是很重要的。从避免与波浪共振的角度来看，对水手来说，掌握船舶的固有频率尤为重要。使用该程序，可以利用船上的观测数据来估计参数。因此，水手始终可以掌握航行中船舶的参数。在这个过程中，采用了两种随机技术。第一种是连续自回归(CAR)模型，它可以得到精确的船舶振动方程参数。一般而言，船舶在波浪中的运动是一个随机过程。然而，它存在噪声过程不能视为白噪声的问题。在汽车模型中，通过考虑噪声是一个自回归过程，可以对其进行处理。第二种是自组织状态空间建模，它既能估计一般非线性非高斯系统的状态估计，又能估计未知参数。在该估计计算中，采用了粒子滤波的一种蒙特卡罗滤波。利用AIC(阿凯克信息准则)对模型的优度进行了评价。为了检验程序的可靠性，数值实验带有未知参数为固定值的条件。基于所提出的方法估计的船舶运动参数与
In this paper, a statistical estimation procedure for parameters in an equation of ship’s oscillation, such as a damping coefficient and a natural frequency, is proposed. It is important that a mariner grasps the performance of the ship, when carrying out safe operation of the ship. From a viewpoint of avoiding a resonance with a wave, it is especially important for the mariner to grasp the natural frequency of the ship. Using the procedure, the parameters can be estimated by using an observed data on board. Therefore, the mariner can always grasp the parameters of the ship under navigation. In this procedure, two kinds of stochastic techniques are adopted. The first one is a CAR (Continuous AutoRegressive) model that can gain precise parameters of ship’s oscillating equation. In general, the ship motions in waves are regarded as a stochastic process. However, it has the problem that the noise process can not regard as a white noise. In the CAR model, it can be coped with by considering that the noise is an auto regressive process. The second one is a self-organizing state space modeling that can evaluate both the state estimation and the identification of unknown parameters in a general nonlinear non-Gaussian system. In this estimation calculation, Monte Carlo Filter which is a kind of Particle Filter is adopted. The goodness of the model is evaluated by using AIC (Akaike Information Criterion) with respect to the model. To examine reliability the procedure, the numerical experiments carried the the condition which the unknown parameters are a fixed value. The estimated ship motion parameters based on the proposed method agreement the
DOI：
--
发表时间：
2003
期刊：
Proc.of International Conference on Marine Simulation and Ship Maneuverability (MARSIM'03) Vol.II
影响因子：
--
作者：
Toshio Iseki;Daisuke Terada
通讯作者：
Daisuke Terada