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Accurate measurement of high-frequency blast waves through dynamic compensation of miniature piezoelectric pressure sensors

机译:通过微型压电压力传感器的动态补偿,精确测量高频鼓浪

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摘要

To suppress the parasitic effects in explosion test, a blast wave pressure sensor component composed of a pressure sensor, an additional mechanical structure and silicone greases on the sensitive surface is built up for blast wave measurements. If the dynamic characteristics of the sensor component cannot meet the requirements of so-called undistorted measurements, it will result in measurement errors. In this paper, we present a dynamic compensation approach which considers all the components within the frequency range of interest to correct measured blast wave pressure signals. Via the frequency characteristic analysis of the sensor component, we know that the additional mechanical structure and silicone greases introduce a formant within the low frequency range. The amplitude of the formant within the low frequency range is much smaller than that at the resonance frequency, making it difficult to establish the model of the sensor component to reflect this small formant accurately. Therefore, based on dynamic calibration on a shock tube, considering that the effective bandwidth of blast wave pressure signals is generally within 100 kHz, we propose a partial modelling method and establish the partial model of the sensor component. Compared to the full-bandwidth model, the partial model is more accurate within the low frequency range. Then a dynamic compensation approach is presented for accurate measurements. When designing the dynamic compensation filter, all the poles and zeros on the dynamic characteristics of the sensor component are analyzed as influence factors. Using the presented dynamic compensation approach, the working bandwidth of the sensor component is increased from 14.5 kHz to 120 kHz. Compared with the step response signal measured in the dynamic calibration experiment, the step response signal passing through the dynamic compensation filter contains less noises and smaller overshoot. Furthermore, comparing the peak overpressures of the simulated b
机译:为了抑制爆炸试验中的寄生效应,建立了一种由压力传感器,额外的机械结构和敏感表面上的硅氧烷润滑脂组成的高频波动传感器组件进行高频波测量。如果传感器组件的动态特性不能满足所谓的未置换测量的要求,则会导致测量误差。在本文中,我们提出了一种动态补偿方法,其认为频率范围内的所有组件才能校正测量的高频波压力信号。通过传感器部件的频率特性分析,我们知道额外的机械结构和硅氧烷润滑脂在低频范围内引入了铅蛋白。在低频范围内的植物的幅度远小于谐振频率的幅度,使得难以建立传感器部件的模型,以准确地反射这种小型粉剂。因此,基于冲击管上的动态校准,考虑到鼓波压力信号的有效带宽通常在100kHz内,我们提出了一种部分建模方法并建立传感器部件的部分模型。与全带宽模型相比,部分模型在低频范围内更准确。然后提出了一种动态补偿方法以进行准确测量。在设计动态补偿滤波器时,分析了传感器组件的动态特性的所有极点和零作为影响因素。使用所提出的动态补偿方法,传感器组件的工作带宽从14.5kHz增加到120 kHz。与在动态校准实验中测量的步进响应信号相比,通过动态补偿滤波器的步进响应信号包含较少的噪声和更小的过冲。此外,比较模拟B的峰值超压

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