传感技术学报2017，Vol.30Issue(3)：391-396,6.DOI:10.3969/j.issn.1004-1699.2017.03.010
基于岭回归的压力传感器高精度测量模型研究
Study on High Accuracy Measurement Model of Pressure Sensor Based on Ridge Regression
摘要
Abstract
The measurement accuracy of silicon piezoresistive pressure sensor is easily affected by environment temperature.To improve the measurement accuracy of the pressure sensor,a regression model based on ridge regression was proposed,a novel measurement method was adopted to extract the pressure and temperature information from the pressure sensor,and then a regression model between the pressure sensor bridge output,bridge resistance and the measured pressure was built.To improve the stability of the regression model,the Bootstrap method was used for a statistical significance test of the model parameters.Experimental results show that the proposed method can greatly eliminate the effect of temperature on pressure measurement,so that the accuracy of pressure measurement can be improved from ±0.6% FS to ±0.03% FS.关键词
压力传感器/温度补偿/岭回归/Bootstrap/参数显著性检验Key words
pressure sensor/temperature compensation/ridge regression/bootstrap/parameter significance test分类
信息技术与安全科学引用本文复制引用
龙军,关威,汪旭东,陈君..基于岭回归的压力传感器高精度测量模型研究[J].传感技术学报,2017,30(3):391-396,6.基金项目
十二五民用航天项目(E020415) （E020415）
