摘要
对热敏电阻,PTC、NTC传感器的R-T特性测试用不同的数据处理方法结果有很大不同。基于Matlab对NTC的测试数据处理,采用了如下方法:①求出电阻常数B,建立B参数Hart方程;②将采样点数据按照Hart方程,以温度、阻值、B参数最佳值为初始值作最小二乘拟合,非线性回归,得到新系数的Hart方程;③完全不参考Hart方程直接对采样点进行2~5阶最小二乘非线性拟合。对这3种类型的处理方法从残差、精度、方便程度及扩展范围等方面进行比较。
The lhermal resistor, testing R-T characteristics of PTC, NTC sensors with different methods of data prncessing leads to quite different resuhs. Based on Matlah fl^r the NTC test data, we apply three methods: The first is to find out resistance constant B and establish B parameters Hart equation; The second is to use the sample point data of optimal values of temperature, the resistance and B parameters as the initial values and then apply a least squares fitting, mmlinear regression, to get new coefficient of Hart equation ; The third is to directly sample points for 2, 3, 4, 5 orders and do nonlinear least-square filling. Comparing the residual error, accuracy, and extended range ohtained by lhe three lypes of processing methods is persuasive. The experiment is meaningful for finding out a simple, efficient, a~'eurale data processing method.
出处
《实验室研究与探索》
CAS
北大核心
2013年第11期69-73,共5页
Research and Exploration In Laboratory
基金
海南省教育厅项目(2012-2014)
海南省教育厅省级精品课程项目(2012-2014)
关键词
热敏电阻
NTC
传感器
非线性回归
曲线拟合
thermally sensitive resistor
NTC
sensors
nonlinear regression
curve fitting