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A Dual-Axis Hair Flow Sensor Based on Weakly Coupled Double Ended Tuning Forks

机译:基于弱耦合双端调谐叉的双轴发动流量传感器

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摘要

This paper reports a novel dual-axis hair flow sensor based on weakly coupled double ended tuning forks (DETFs), and a full-scale linear output metric based on differential subtraction of reciprocal amplitude ratios (SRAR) is adopted to suppress the strong inherent non-linearity of amplitude ratio-modulated output metric. The fabricated prototype shows an x-axis mechanical sensitivity of 5.417×10-2 /(m/s)2 and a y-axis sensitivity of 6.212×10-2 /(m/s)2. Furthermore, the comparative experiment results confirm that compared to frequency-based output and amplitude ratio-based output, the differential SRAR-based output not only promotes the output linearity, but also exhibits a superior bias stability, which indicates a better common-mode rejection of ambient fluctuations.
机译:本文报告了一种基于弱耦合的双端调谐叉(DETF)的新型双轴毛流量传感器,采用基于往复幅度比(SRAR)的差分减法(SRAR)的全尺度线性输出度量来抑制强的固有非幅度比调制输出度量的线性。制造的原型显示X轴机械敏感性为5.417×10 -2 /(多发性硬化症) 2 和y轴灵敏度为6.212×10 -2 /(多发性硬化症) 2 。此外,比较实验结果证实,与基于频率的输出和基于幅度比的输出相比,基于差分SRAR的输出不仅促进了输出线性度,而且还表现出优异的偏置稳定性,这表示更好的共模抑制环境波动。

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