一种湿度传感器温度补偿的非线性校正方法

摘要

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4.5576e-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 correc-tion 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 maximum relative error is less than 4.5576e-4％. Therefore the proposed method has good nonlinear correction and temperature compensation effect,and has important theoretical and application value in the field of humidity detection.