期刊论文

A Nonlinear Correction Method for Humidity Sensor Temperature Compensation

Zeng, Z.

中文

传感技术学报

1004-1699

2017

30

5

742-745

10.3969/j.issn.1004-1699.2017.05.018

电子科学与技术湖南省重点学科项目

本校为第一且通讯机构

针对湿度传感器易受温度影响的问题,提出了基于Laguerre多项式的湿度非线性校正和温度补偿的复合校正模型,采用递推最小二乘法对标定湿度进行拟合以确定复合补偿模型的参数。该方法根据湿度传感器的测量值和环境温度即可高精度计算出实际湿度。仿真结果表明,补偿后的最大相对误差不超过4.557 6e-4%,具有良好的非线性校正和温度补偿效果,在湿度检测领域具有重要的理论和应用价值。

The compound correction model based on Laguerre polynomials was proposed on humidity nonlinear correction and temperature compensation for the problem of humidity sensor easily affected by temperature. The parameters of the composite compensation model were determined through fitting humidity calibration values using the recursive least square(RLS)algorithm. The method can calculate the actual humidity with high accuracy according to the measured values of humidity sensor and environment temperature. The simulation results showed that the maxim...