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递归滤波在测压管路信号修正中的应用

3111    2016-10-08

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作者:吕永志, 张丕状

作者单位:中北大学信息探测与处理技术研究所, 山西 太原 030051


关键词:风压测量;递归滤波;频响特性;弹性模量;坦克散热窗


摘要:

在坦克散热窗表面风压测量实验中,由于空气柱谐振及阻尼作用等因素的影响,风压信号经过取样管路后会发生畸变。为在时域对风压畸变信号进行修正,设计递归滤波器,同时构建脉动压力测试系统对递归滤波器的修正效果进行验证,并且采用正弦脉动激励法探究不同弹性模量测压管道的频响特性。实验结果表明:采用递归滤波法修正测压管路畸变信号是可行的;当滤波器阶数为9时,修正效果最为理想且计算量小;递归滤波器对较长的测压管路修正效果比较好;弹性模量对测压管道系统的相频特性影响小,但对管道的幅频特性影响明显,弹性模量高的测压管道其幅度增益较大。


The application of recursive filter in the correction of tubing system of pressure measurement

LÜ Yongzhi, ZHANG Pizhuang

Institute of Signal Capturing & Processing Technology, North University of China, Taiyuan 030051, China

Abstract: In the experiment of surface wind pressure measurement of heat dissipation window on tank, distortions may occur to wind pressure signals through sampling pipeline by different influential factors such as air column resonance and damping. This paper corrects wind pressure distortion signals in the time domain, designs a recursive filter, constructs a pressure fluctuation measurement system for verification of the correction effects of recursive filter, and explores the frequency response property of pressure measurement pipelines with different modulus of elasticity using sinusoidal pulsating stimulation method. Results show that it is feasible to correct wind pressure distortion signals using recursive filter method. Optimal corrective effects can be achieved with minimum calculation when the order of recursive filter is 9. Better corrective effects can be achieved for longer pressure measurement pipelines. Modulus of elasticity has less influence on phase-frequency characteristics of the pipeline system, and obvious influence on amplitude frequency characteristics of pipelines. Pressure measurement system with higher modulus of elasticity can obtain larger amplitude gain.

Keywords: measurement of wind pressure;recursive filter;frequency response;modulus of elasticity;heat dissipation window on tank

2016, 42(9): 116-119,125  收稿日期: 2016-1-18;收到修改稿日期: 2016-3-10

基金项目: 

作者简介: 吕永志(1991-),男,河南南阳市人,硕士研究生,专业方向为信号与信息处理。

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