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Controlling a Fishing Net Geometry Underwater Using a Data Assimilation Method
Applied Ocean Research ( IF 4.3 ) Pub Date : 2021-01-01 , DOI: 10.1016/j.apor.2020.102467
Shintaro Gomi , Tsutomu Takagi , Katsuya Suzuki , Rika Shiraki , Ichiya Ogino , Shigeru Asaumi

Abstract We propose a control method that changes the geometry of a fishing net into an arbitrary geometry. To control the net geometry, an automatic control system was constructed by integrating the data assimilation method into a fishing net dynamics simulation. This study focused on the function of the data assimilation method to estimate the unknown parameter needed to control the net geometry. By applying the parameter estimation, the length of the material and loading were set as unknown parameters and estimated to be an intended geometry of the fishing net. Further, geometry control experiments consisting of numerical simulations were conducted for validation. This was achieved by using a simplified plane net model and a trawl net model. An automatic control system using the extended Kalman filter was applied. In addition, we confirmed that the net geometry can be controlled in real space by the automatic control system. For validation, the results of experiments conducted in an experimental flume tank were compared with the numerical simulation results of the plane net geometry by using the automatic control system that integrated an ensemble Kalman filter. The numerical simulation results were found to be congruent with those of the flume tank experiments, confirming the validity of the proposed control system.

中文翻译:

使用数据同化方法控制水下渔网几何形状

摘要 我们提出了一种将渔网几何形状改变为任意几何形状的控制方法。为了控制网的几何形状,通过将数据同化方法集成到渔网动力学模拟中,构建了自动控制系统。本研究侧重于数据同化方法的功能,以估计控制网络几何所需的未知参数。通过应用参数估计,材料的长度和负载被设置为未知参数,并被估计为渔网的预期几何形状。此外,进行了由数值模拟组成的几何控制实验以进行验证。这是通过使用简化的平面网模型和拖网模型来实现的。应用了使用扩展卡尔曼滤波器的自动控制系统。此外,我们确认网络几何可以通过自动控制系统在真实空间中进行控制。为了验证,使用集成卡尔曼滤波器的自动控制系统,将在实验水槽中进行的实验结果与平面网络几何的数值模拟结果进行了比较。发现数值模拟结果与水槽罐实验的结果一致,证实了所提出的控制系统的有效性。
更新日期:2021-01-01
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