title: Novel Method for Processing the Dynamic Calibration Signal of Pressure Sensor.
abstract: Dynamic calibration is one of the important ways to acquire the dynamic performance parameters of a pressure sensor. This research focuses on the processing method for the output of calibrated pressure sensor, and mainly attempts to solve the problem of extracting the true information of step response under strong interference noise. A dynamic calibration system based on a shock tube is established to excite the time-domain response signal of a calibrated pressure sensor. A key processing on difference modeling is applied for the obtained signal, and several generating sequences are established. A fusion process for the generating sequences is then undertaken, and the true information of the step response of the calibrated pressure sensor can be obtained. Finally, by implementing the common QR decomposition method to deal with the true information, a dynamic model characterizing the dynamic performance of the calibrated pressure sensor is established. A typical pressure sensor was used to perform calibration tests and a frequency-domain experiment for the sensor was also conducted. Results show that the proposed method could effectively filter strong interference noise in the output of the sensor and the corresponding dynamic model could effectively characterize the dynamic performance of the pressure sensor.
authors.affiliation: School of Instrument Science and Opto-Electronic Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China. mewan@buaa.edu.cn.
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. liqiang398@163.com.
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. mewan@buaa.edu.cn.
authors.forename: Zhuoran
authors.initials: Z
authors.lastname: Wang
authors.affiliation: Beijing Changcheng Institute of Metrology and Measurement, Beijing 100095, China. yanhuyanxin@126.com.
authors.forename: Hu
authors.initials: H
authors.lastname: Yan
keywords: dynamic calibration; pressure sensor; signal processing; strong disturbance