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首页> 外文期刊>Bioinspiration & biomimetics >Self-motion effects on hydrodynamic pressure sensing: Part I. Forward-backward motion
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Self-motion effects on hydrodynamic pressure sensing: Part I. Forward-backward motion

机译：自运动对流体动力压力感测的影响：第一部分。向前-向后运动

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In underwater locomotion, extracting meaningful information from local flows is as desirable as it is challenging, due to complex fluid-structure interaction. Sensing and motion are tightly interconnected; hydrodynamic signals generated by the external stimuli are modified by the self-generated flow signals. Given that very little is known about self-generated signals, we used onboard pressure sensors to measure the pressure profiles over the head of a fusiform-shape craft while moving forward and backward harmonically. From these measurements we obtained a second-order polynomial model which incorporates the velocity and acceleration of the craft to estimate the surface pressure within the swimming range up to one body length/second (L s~(-1)). The analysis of the model reveals valuable insights into the temporal and spatial changes of the pressure intensity as a function of craft's velocity. At low swimming velocities (<0.2 L s~(-1)) the pressure signals are more sensitive to the acceleration of the craft than its velocity. However, the inertial effects gradually become less important as the velocity increases. The sensors on the front part of the craft are more sensitive to its movements than the sensors on the sides. With respect to the hydrostatic pressure measured in still water, the pressure detected by the foremost sensor reaches values up to 300 Pa at 1 L s~(-1) swimming velocity, whereas the pressure difference between the foremost sensor and the next one is less than 50 Pa. Our results suggest that distributed pressure sensing can be used in a bimodal sensing strategy. The first mode detects external hydrodynamic events taking place around the craft, which requires minimal sensitivity to the self-motion of the craft. This can be accomplished by moving slowly with a constant velocity and by analyzing the pressure gradient as opposed to absolute pressure recordings. The second mode monitors the self-motion of the craft. It is shown here that distributed pressure sensing can be used as a speedometer to measure the craft's velocity.
机译：在水下运动中，由于复杂的流体-结构相互作用，从本地流量中提取有意义的信息既是一项挑战，也是一项挑战。传感和运动紧密相连。由外部刺激产生的流体动力信号由自身产生的流量信号修改。鉴于对自生信号知之甚少，我们使用了船载压力传感器来测量梭形飞行器头部的压力分布，同时进行前后谐波移动。从这些测量中，我们获得了一个二阶多项式模型，该模型结合了飞行器的速度和加速度，以估计游泳范围内的表面压力，直至一个体长/秒（L s〜（-1））。对模型的分析揭示了对压力强度随飞行器速度变化的时空变化的宝贵见解。在低游泳速度（<0.2 L s〜（-1））下，压力信号对船只的加速度比其速度更敏感。但是，随着速度的增加，惯性效应逐渐变得不那么重要。与侧面的传感器相比，飞行器前部的传感器对其运动更为敏感。对于静止水中测得的静水压力，最先传感器检测到的压力在1 L s〜（-1）游泳速度下达到300 Pa，而最先传感器与下一个传感器之间的压差较小大于50 Pa。我们的结果表明，可以在双峰传感策略中使用分布式压力传感。第一种模式可检测到围绕飞船发生的外部水动力事件，这需要对飞船自身运动的敏感性最小。这可以通过以恒定速度缓慢移动并通过分析与绝对压力记录相反的压力梯度来实现。第二种模式监视飞行器的自我运动。此处显示，分布式压力感测可以用作测速仪的速度计。

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