Adaptive Nonlinearity Compensation System for Integrated Temperature and Moisture Sensor

文献类型： 外文期刊

第一作者： Chen, Guohong

作者： Chen, Guohong;Ni, Jie;Zhou, Shengjun;Huang, Hao;Huang, Hao

作者机构：

关键词： temperature and moisture sensor; adaptive order regulating; temperature-dependent nonlinearity; nonlinearity compensation

期刊名称：MICROMACHINES （ 影响因子：2.891； 五年影响因子：2.943 ）

ISSN：

年卷期： 2019 年 10 卷 12 期

页码：

收录情况： SCI

摘要： Measuring temperature and moisture are important in many scenarios. It has been verified that temperature greatly affects the accuracy of moisture sensing. Moisture sensing performance would suffer without temperature calibrations. This paper introduces a nonlinearity compensation technique for temperature-dependent nonlinearity calibration of moisture sensors, which is based on an adaptive nonlinear order regulating model. An adaptive algorithm is designed to automatically find the optimal order number, which was subsequently applied in a nonlinear mathematical model to compensate for the temperature effects and improve the moisture measurement accuracy. The integrated temperature and moisture sensor with the proposed adaptive nonlinear order regulating nonlinearity compensation technique is found to be more effective and yield better sensing performance.

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