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Design and Characterization of a Novel Biaxial Bionic Hair Flow Sensor Based on Resonant Sensing

机译:基于共振传感的新型双轴仿生发动流动传感器的设计与鉴定

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摘要

This paper presents the design, theoretical analysis, simulation verification, fabrication and prototype characterization of a novel biaxial bionic hair flow sensor based on resonant sensing. Firstly, the device architecture, mainly consists of a polymer hair post, a silicon micro signal transducer and a glass substrate, is described, the theoretical simplified model is established and the mechanical sensitivity to air flow is deducted. Then, the structure simulations based on Ansys software are implemented to preliminarily verify the feasibility of the proposed sensor conception and optimize the structure parameters simultaneously. Subsequently, a closed-loop control scheme based on digital phase-locked loop and an amplitude demodulation algorithm of oscillatory flow velocity based on the least mean square method are proposed to transform and extract the air flow signal, and then verify it by circuit simulations based on SIMULINK. Finally, the fabricated prototype is illustrated and comprehensively tested. The tested prototype possesses an x-axis scale factor of 1.56 Hz/(m/s)2 and a y-axis scale factor of 1.81 Hz/(m/s)2 for the steady air flow and an x-axis detection threshold of 43.27 mm/s and a y-axis detection threshold of 41.85 mm/s for the oscillatory air flow.
机译:本文介绍了一种基于共振感测的新型双轴仿生发毛传感器的设计,理论分析,仿真验证,制造和原型表征。首先,描述了设备架构,主要由聚合物发柱,硅微信号换能器和玻璃基板组成,建立了理论简化模型,并扣除了对空气流的机械敏感性。然后,实现了基于ANSYS软件的结构模拟,以预先验证所提出的传感器构想的可行性,并同时优化结构参数。随后,提出了一种基于数字锁相环的闭环控制方案和基于最小均方方法的振荡流速的振幅解调算法,以改变和提取空气流量信号,然后通过基于电路模拟验证在Simulink上。最后,说明了制造的原型和全面测试。测试的原型具有1.56Hz /(m / s)2的x轴比例因子,以及1.81 hz /(m / s)2的Y轴比例为1.81 Hz /(m / s)2,用于稳定的空气流量和x轴检测阈值43.27 mm / s和Y轴检测阈值为振荡空气流量为41.85 mm / s。

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