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

作　　者：龙军[1] 关威[1] 汪旭东[1] 陈君[1] 

机构地区：[1]北京控制工程研究所,北京100094

出　　处：《传感技术学报》2017年第3期391-396,共6页Chinese Journal of Sensors and Actuators

基　　金：十二五民用航天项目(E020415)

摘　　要：硅压阻式压力传感器测量精度易受环境温度影响,为提高压力传感器测量精度,提出基于岭回归方法的高精度压力测量回归模型,采用新的测量方式从压力元件桥路提取压力传感器温度、压力变化的信息,建立了压力传感器桥路输出、桥路电阻与被测压力三者之间的回归模型,并利用Bootstrap方法对模型参数进行显著性检验,提高模型的稳定性。实验结果显示该方法可大幅度消除温度对压力测量精度的影响,使压力测量精度从±0.6%FS提高到±0.03%FS。The measurement accuracy of silicon piezoresistive pressure sensor is easily affected by environment tem- perature. 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 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]