| 基于最优模糊系统的非线性校准数据计算方法 |
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| 引用本文： | 朱学锋. 基于最优模糊系统的非线性校准数据计算方法[J]. 电子测量技术, 2016, 39(12): 81-84. DOI: 10.3969/j.issn.1002-7300.2016.12.017 |
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| 作者姓名： | 朱学锋 |
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| 作者单位： | 92941部队,葫芦岛 125000 |
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| 摘 要： | 为了将通过非线性传感器测量的参数转换为参数物理量,研究了最小二乘多项式拟合非线性传感器校准数据的局限性,提出了基于最优模糊系统,采用最近邻聚类方法设计模糊系统,实现对非线性传感器校准数据的精确拟合.通过调整最小二乘多项式和最近邻聚类模糊系统两种方法的计算参数,对比分析了校准数据拟合曲线随参数调整的变化情况.实验结果验证了该方法的有效性,适当调整聚类算法的平滑参数和聚类半径,即可以任意精度逼近非线性的校准数据,明显优于传统的最小二乘多项式拟合方法,且简便、实用.
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| 关 键 词： | 传感器 校准数据 非线性 聚类 最近邻 模糊系统 |
Calculation method of the nonlinear calibration data based on the optimum fuzzy system |
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| Zhu Xuefeng. Calculation method of the nonlinear calibration data based on the optimum fuzzy system[J]. Electronic Measurement Technology, 2016, 39(12): 81-84. DOI: 10.3969/j.issn.1002-7300.2016.12.017 |
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| Authors: | Zhu Xuefeng |
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| Abstract: | In order to transform the parameters measured by the nonlinear sensor to parameters of physical quantities,studied limitations of the least squares polynomial fitting nonlinear sensor calibration data.The method is proposed based on the optimal fuzzy system using the nearest neighbor clustering method to design fuzzy system and fit nonlinear sensor calibration data with higher precision.By adjusting the calculation parameters of the two methods of the least square polynomial and the nearest neighbor clustering fuzzy system,the variation of the fitting curve of the calibration data with the parameter adjustment is analyzed and compared.The experimental results verify the effectiveness of the proposed method.By appropriately adjusting the smoothing parameter and the cluster radius of the clustering algorithm,we can approximate the nonlinear calibration data with arbitrary precision.This method is obviously superior to the traditional least squares polynomial fitting method,and is simple and practical. |
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| Keywords: | sensors calibration data nonlinear clustering nearest neighbor fuzzy system |
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