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Determining the Horizontal and Vertical Water Velocity Components of a Turbulent Water Column Using the Motion Response of an Autonomous Underwater Vehicle

机译:利用自主水下航行器的运动响应确定湍流水柱的水平和垂直水流速度分量

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This work introduces a new method to calculate the water velocity components of a turbulent water column in the x , y , and z directions using Autonomous Underwater Vehicle (AUV) motion response (referred to as the ‘WVAM method’). The water column velocities were determined by calculating the difference between the motion responses of the vehicle in calm and turbulent water environments. The velocity components obtained using the WVAM method showed good agreement with measurements from an acoustic Doppler current profiler (ADCP) mounted to the AUV. The standard deviation between the two datasets were below 0.09 m s ?1 for the velocity components in the x , y , and z directions, and were within the uncertainty margin of the ADCP measurements. With the WVAM method, it is possible to estimate the velocity components within close proximity to the AUV. This region encompasses the vehicle boundary layer and the ADCP blanking distance, which is not typically resolved. Estimating vertical and horizontal velocities around the boundary layer of the AUV is important for vehicle navigation and control system optimization, and to fill the blanking distance gap within a water column velocity profile, which is important for flow field characterization. The results show that it is possible to estimate the flow field in the vicinity of AUVs and other self-propelled vehicles.
机译:这项工作介绍了一种使用自主水下航行器(AUV)的运动响应来计算x,y和z方向上湍流水柱水流速度分量的新方法(称为“ WVAM方法”)。通过计算车辆在平静和湍急的水环境中的运动响应之间的差异来确定水柱速度。使用WVAM方法获得的速度分量与安装在AUV上的声学多普勒电流剖面仪(ADCP)的测量结果显示出良好的一致性。对于x,y和z方向的速度分量,两个数据集之间的标准差在0.09 m s?1以下,并且在ADCP测量的不确定范围内。使用WVAM方法,可以估计AUV附近的速度分量。该区域包含车辆边界层和ADCP消隐距离,通常无法解决。估计AUV边界层周围的垂直和水平速度对于车辆导航和控制系统优化非常重要,并填补水柱速度剖面内的空白距离差距,这对于流场表征很重要。结果表明,可以估计AUV和其他自行式车辆附近的流场。

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