On-line Identification of the Ship Motion Parameters
On-line Identification of the Ship Motion Parameters
复制标题
船舶运动参数在线辨识
DOI：
10.2534/jjasnaoe1968.1999.186_107
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发表时间：
1999
期刊：
影响因子：
--
通讯作者：
K. Ohtsu
中科院分区：
文献类型：
--
作者：
T. Iseki;K. Ohtsu
将直接参数估计算法应用于简单的横摇运动方程。该算法由无限脉冲响应(IIR)数字滤波器和递归最小二乘(RLS)算法组成。为了避免直接导数和减小测量噪声的影响，引入了IIR数字滤波器。此外，该数字滤波器不存在初始条件问题和积分误差累积问题，为了讨论其定量精度，作者进行了模型实验。首先，将该方法应用于静水中自由横摇运动试验的时程数据。然后，将该方法应用于不规则波中的随机滚动运动数据。在这两种情况下，用本方法识别的动态滚动运动参数与以前的测量参数都有令人满意的一致性。结果表明，该方法是在线辨识动态滚动运动参数的有力工具。最后，为了验证实际的实用性，我们还进行了车载测试。给出了这些试验的结果，并报告了应用中遇到的问题。
The direct parameter estimation algorithm is applied to the simple equation of rolling motions. The algorithm is composed of the IIR (Infinite Impulse Response) digital filters and RLS (Recursive Least Squares) algorithm. The IIR digital filters are introduced to avoid taking direct derivatives and to reduce the effects of measurement noise. Furthermore, the digital filters are free from the initial condition problem and the accumulation problem of integration error.In order to discuss the quantitative accuracy, the authors carried out model experiments. At the first, the present method is applied to the time history data of free rolling motion tests in the still water. Next, the method is applied to the random rolling motion data in irregular waves. In both cases, there is satisfactory agreement of the dynamic rolling motion parameters identified by the present method and the previously measured parameters. This concludes that the present method is a powerful tool for on-line identification of dynamic rolling motion parameters. Finally, in order to verify the practical usefulness, we also carried out on board tests. The results of these tests are shown and problems encountered on applying are reported.