title: Novel method for estimating the dynamic characteristics of pressure sensor in shock tube calibration test.
abstract: A shock tube is usually used to excite the dynamic characteristics of the pressure sensor used in an aircraft. This paper proposes a novel estimation method for determining the dynamic characteristic parameters of the pressure sensor. A preprocessing operation based on Grey Model [GM(1,1)] and bootstrap method (BM) is employed to analyze the output of a calibrated pressure sensor under step excitation. Three sequences, which include the estimated value sequence, upper boundary, and lower boundary, are obtained. The processing methods on filtering and modeling are used to explore the three sequences independently. The optimal estimated, upper boundary, and lower boundary models are then established. The three models are solved, and a group of dynamic characteristic parameters corresponding to the estimated intervals are obtained. A shock tube calibration test consisting of two experiments is performed to validate the performance of the proposed method. The results show that the relative errors of the dynamic characteristic parameters of time and frequency domains do not exceed 9% and 10%, respectively. Moreover, the nominal and estimated values of the parameters fall into the estimated intervals limited by the upper and lower values.
authors.affiliation: School of Instrument Science and Opto-Electronic Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China.
authors.forename: Qiang
authors.initials: Q
authors.lastname: Li
authors.affiliation: School of Instrument Science and Opto-Electronic Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China.
authors.forename: Zhongyu
authors.initials: Z
authors.lastname: Wang
authors.affiliation: School of Instrument Science and Opto-Electronic Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China.
authors.forename: Zhuoran
authors.initials: Z
authors.lastname: Wang
authors.affiliation: Beijing Changcheng Institute of Metrology and Measurement, Beijing 100095, China.
authors.forename: Hu
authors.initials: H
authors.lastname: Yan