压力传感器激波管校准条件下的动态参数估计

李强; 王中宇; 王卓然; 燕虎

doi:10.13700/j.bh.1001-5965.2014.0549

压力传感器激波管校准条件下的动态参数估计

doi: 10.13700/j.bh.1001-5965.2014.0549

李强¹,
王中宇^1, ,,
王卓然¹,
燕虎²

1.
北京航空航天大学仪器科学与光电工程学院, 北京 100191
2. 北京长城计量测试技术研究所, 北京 100095

基金项目: 国防技术基础项目

详细信息

作者简介:
李强(1982—),男,河南新县人,博士研究生,liqiang398@163.com

通讯作者:
王中宇(1963—),男,河南洛阳人,教授,mewan@buaa.edu.cn,主要研究方向为光电技术及其应用、动态测量基础理论与技术.

中图分类号: TB939;V19
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出版历程
- 收稿日期: 2014-09-09
- 修回日期: 2014-10-24
- 网络出版日期: 2015-07-20

Dynamic parameter estimation of pressure transducer in shock tube calibration test

1.
School of Instrumentation Science and Opto-electronics Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
2. Beijing Changcheng Institute of Metrology and Measurement, Beijing 100095, China

摘要

摘要: 激波管是一种关键的压力传感器动态校准装置,但是由于其输出的不稳定性,使得被校准压力传感器的输出数据常常难以直接用于动态建模,且所建模型的准确性也难以表征.提出一种用于激波管校准压力传感器的动态参数估计方法.首先使用基于信息方法处理被校准压力传感器在阶跃激励下的输出数据,得到最优估计值序列、上界序列和下界序列;然后,对所得最优估计值序列、上界序列和下界序列分别进行白化滤波和差分建模,得到最优估计模型、上界模型和下界模型;之后对各个模型进行求解,最优估计模型得出被校准压力传感器的最优特征指标,上界模型和下界模型所得结果构成最优性能指标的估计区间.选用恩德福克200系列压阻传感器进行激波管校准实验,得出时域动态指标的相对误差小于8.17%,频域动态指标相对误差小于9.15%;所有指标均100%位于求得的估计区间内.
- 参数估计 /
- 动态校准 /
- 激波管 /
- 压力传感器 /
- 频域指标
Abstract: Shock tube is the key device in the pressure transducer dynamic calibration. But as the output of pressure transducer often contains strong interference, which makes it difficult to directly use the output to build the dynamic model of calibrated pressure transducer, in addition, the accuracy of the model is hard to be characterized. A parameter estimation method was proposed which could be applied to pressure transducer in shock tube calibration test. Firstly, the operation of information generation was employed to process the output of calibrated pressure transducer under the pressure of step excitation, and then estimated sequences, upper boundary and lower boundary were obtained. Secondly, the processing methods about filtering and modeling were used to deal with the estimated sequences, upper and lower boundary, and then we could obtain the best estimated value model, the upper boundary model and the lower boundary model. Finally, by solving the obtained models, the indicators obtained by the best estimated model was the best characteristic indicator of the calibrated transducer, the indicators obtained by upper and lower boundary model could compose confidence interval of best indicators, it could show the reliability of the best indicators. A calibration test of shock tube is conducted with the piezoresistive pressure transducer of Endevco 200 series type. The relative errors of dynamic indices of time-domain are no more than 8.17%; the relative errors of dynamic indices of frequency-domain are no more than 9.15%. All the obtained indicators fall in the estimated interval with 100% probability of reliability.
- parameter estimation /
- dynamic calibration /
- shock tube /
- pressure transducer /
- frequency-domain indices

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参考文献(21)

[1]	黄俊钦. 测试系统动力学及其应用[M].北京: 国防工业出版社, 2013: 5-6. Huang J Q.Measurement system dynamics and its application[M].Beijing: National Defense Industry Press, 2013: 5-6(in Chinese).
[2]	Mozek M, Vrtacnik D, Resnik D, et al.Calibration system for smart pressure sensors[J].Informacije Midem-Journal of Microe Lectronics Electronic Components and Materials, 2006, 36(3): 161-165.
[3]	Wisniewiski D. Second generation shock tube calibration system[J].International Journal of Acoustics and Vibration, 2012, 17(3): 133-138.
[4]	Persico G, Gaetani P, Guardone A.Dynamic calibration of fast-response probes in low-pressure shock tubes[J].Measurement Science & Technology, 2005, 16(9): 1751-1759.
[5]	Revel G M, Pandarese G, Cavuto A.The development of a shock-tube based characterization technique for air-coupled ultrasonic probes[J].Ultrasonics, 2014, 54(6): 1545-1552.
[6]	Kajikawa H, Kobata T.Reproducibility of calibration results by 0-A-0 pressurization procedures for hydraulic pressure transducers[J].Measurement Science and Technology, 2014, 25(1): 015008.
[7]	Sharifian S A, Buttsworth D R.Evaluation of glued-diaphragm fibre optic pressure sensors in a shock tube[J].Shock Waves, 2007, 16(3): 189-197.
[8]	Haboussa G, Ortiz R, Deletombe E, et al.A measurement study of a pressure transducer subjected to water drop impact[J].International Journal of Crashworthiness, 2008, 13(1): 49-66.
[9]	Medici E F, Allen J S, Waite G P.Modeling shock waves generated by explosive volcanic eruptions[J].Geophysical Research Letters, 2014, 41(2): 414-421.
[10]	王中宇, 刘智敏, 夏新涛.测量误差与不确定度评估[M].北京: 科学出版社, 2008: 11-12. Wang Z Y, Liu Z M, Xia X T, et al.Measurement error and uncertainty evaluation[M].Beijing: Science Press, 2008: 11-12(in Chinese).
[11]	Yatracos Y. Assessing the quality of bootstrap samples and of the bootstrap estimates obtained with finite resampling[J].Statistics & Probability Letters, 2002, 59(3): 281-292.
[12]	Davidson R, Mackinnon J G.Bootstrap confidence sets with weak instruments[J].Econometric Reviews, 2014, 33(5-6): 651-675.
[13]	Yin M S. Fifteen years of grey system theory research: A historical review and bibliometric analysis[J].Expert Systems with Applications, 2013, 40(7): 2767-2775.
[14]	Wang Z Y, Meng H, Fu J H.Novel method for evaluating surface roughness by grey dynamic filtering[J].Measurement, 2010, 43(1): 78-82.
[15]	Ge L Y, Wei Z, Huang S L.Novel error prediction method of dynamic measurement lacking information[J].Journal of Testing and Evaluation, 2012, 40(1): 37-42.
[16]	Ge L Y, Wang Z Y.Novel uncertainty-evaluation method of virtual instrument small sample size[J].Journal of Testing and Evaluation, 2008, 36(3): 273-279.
[17]	Preston S P, Wood A T A.Two-sample bootstrap hypothesis tests for three-dimensional labeled landmark data[J].Scandinavian Journal of Statistics, 2010, 37(4): 568-587.
[18]	Tien T L. A research on the prediction of machining accuracy by the deterministic grey dynamic model DGDM(1, 1, 1)[J].Applied Mathematics and Computation, 2005, 161(3): 923-945.
[19]	Kajikawa H, Kobata T.Effects of pressurization procedures on calibration results for precise pressure transducers[J].Measurement Science and Technology, 2010, 21(6): 065104.
[20]	JJG860—94 压力传感器检定规程(静态)[S].北京: 国家质量技术监督局, 1994: 1-3. JJG860—94 Verification regulation of pressure transducer(static)[S].Beijing: China State Bureau of Technical Supervision, 1994: 1-3(in Chinese).
[21]	JJG 624—2005 压力传感器动态检定规程[S].北京: 国家质量技术监督局, 2005: 1-4. JJG 624—2005 Verification regulation of dynamic pressure transducers[S].Beijing: China State Bureau of Technical Supervision, 2005: 1-4(in Chinese).