文献类型： 外文期刊
作者： Chen, Guohong 1 ; Zhou, Shengjun 2 ; Ni, Jie 1 ; Huang, Hao 3 ;
作者机构： 1.Zhejiang Univ City Coll, Sch Informat & Elect Engn, 51 Huzhou St, Hangzhou 310015, Peoples R China
2.Zhejiang Acad Agr Sci, 198 Shiqiao Rd, Hangzhou 310021, Peoples R China
3.Hubei Univ, Fac Phys & Elect Sci, Hubei Key Lab Ferro & Piezoelect Mat & Devices, 368 Youyi St, Wuhan 430062, Peoples R China
4.Chinese Acad Sci, Shanghai Inst Microsyst & Informat Technol, Key Lab Wireless Sensor Network & Commun, 865 Changning Rd, Shanghai 200050, Peoples R China
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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