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传感器非线性输入输出信号反演处理中的“归十”算法 被引量:5

Ten-Normalized Algorithm for Reversal Development of Input Verse Output Signal In Sensors
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摘要 介绍一种传感器中非线性输入输出信号反演的所谓"归十"算法.其要点是将最大和最小输出信号分别作为坐标轴的十和零.其它输出信号按比例位于其中.输入信号可表示成"归十"的输出信号的五阶反演多项式,即五阶交错级数.该多项式的一阶和二阶项系数的近似值可从两组样本值解其联立方程而得到.其它高阶项系数可从它们可能的最小值到最大值逐步代入多项式,多次迭代后使各计算值接近相应样本值而得到.这些高阶项系数最小值至最大值的范围可从大多数试验的各种可能数据分布情况利用规范化多项式拟合法估计得到,以使寻找最佳系数的范围缩小.最后又进行输出信号的"去十"化处理,得到输入与此输出信号的五阶反演多项式.以酒精敏感器件的输入输出信号反演为例加以说明.输入信号是等量的酒精,输出信号是敏感元件的电阻或其上的电压降.输出信号经微处理器处理后,酒精量便以反演结果而被显示.反演的精度为酒精量的±1.5%. The reversal development of input verse output non-linear signals is presented by using a so called "Ten-Normalized Algorithm". The key point is that the maximum and minimum output signals are taken respectively as ten and zero on the ordinate axes. Other output signals are located in the range of them according to their ratios. The input signals can be expressed as a polynomial of the reversal development for output signals with five orders, which is an interlaced series with five orders. The approximate coefficients of the first and second order can be obtained from two sampling values by solving their two coupled equations. The other three coefficients of the high orders can be obtained by introducing them into the polynomial of reversal development until each computed values are respectively close to their sampling values after a lot of iterations from their possible minimum to maximum coefficients of the high orders, step by step. The possible range is estimated by using a normalized matching polynomi- al, according to all of situations for the probable experimental data distribution to minimize the range for searching the optimum coefficients. At last, a polynomial with five orders of the reversal development for output signals verse input signals is obtained, after the "ten-denormalized"process.An example was taken from the reversal development of input verse output signals for an ethanol sensing device. The input signals were ethanol equi-quantifies; the output signals were the resistance of the sensing element or the voltages over it. After processing the output signals through a microprocessor, the ethanol quantities were revealed as results from the reversal development. The precision of the reversal development was ± 1.5 % of ethanol quantifies.
出处 《电子学报》 EI CAS CSCD 北大核心 2009年第11期2470-2475,共6页 Acta Electronica Sinica
关键词 输入输出信号反演 归十算法 估计多项式系数间之比 酒精敏感器件 reversal development of input verse output signals ten-normalized algofithm estimating the ratio among coefficients of polynomial ethanol sensing devices
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