Nonlinear compensation of eddy current sensor based on wavelet neural network
To eliminate the nonlinear error and improve the measurement accuracy of eddy current sensor, a nonlinear compensation method of eddy current sensor based on wavelet neural network and genetic algorithm was proposed. The method uses nonlinear mapping ability of wavelet neural network to make input a...
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Format: | Article |
Language: | zho |
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Editorial Department of Industry and Mine Automation
2015-09-01
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Series: | Gong-kuang zidonghua |
Subjects: | |
Online Access: | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2015.09.019 |
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author | FU Lihua WANG Gang |
author_facet | FU Lihua WANG Gang |
author_sort | FU Lihua |
collection | DOAJ |
description | To eliminate the nonlinear error and improve the measurement accuracy of eddy current sensor, a nonlinear compensation method of eddy current sensor based on wavelet neural network and genetic algorithm was proposed. The method uses nonlinear mapping ability of wavelet neural network to make input and output of the sensor linearization, and uses genetic algorithm to search the optimal initial value of the wavelet neural network to strengthen network nonlinear approximation ability and convergence capability, which can significantly improve nonlinear compensation effect of eddy current sensor. The experimental results show that accuraty of the sensor is improved greatly after the compensation, the maximum absolute error of output voltage of the sensor is 15.55 mV, the maximum relative error is 1.36%, and nonlinear error is 0.34%. |
first_indexed | 2024-04-10T00:02:37Z |
format | Article |
id | doaj.art-b56c270ffcc94e708b705d0c10a5ac1e |
institution | Directory Open Access Journal |
issn | 1671-251X |
language | zho |
last_indexed | 2024-04-10T00:02:37Z |
publishDate | 2015-09-01 |
publisher | Editorial Department of Industry and Mine Automation |
record_format | Article |
series | Gong-kuang zidonghua |
spelling | doaj.art-b56c270ffcc94e708b705d0c10a5ac1e2023-03-17T01:44:41ZzhoEditorial Department of Industry and Mine AutomationGong-kuang zidonghua1671-251X2015-09-01419747710.13272/j.issn.1671-251x.2015.09.019Nonlinear compensation of eddy current sensor based on wavelet neural networkFU LihuaWANG GangTo eliminate the nonlinear error and improve the measurement accuracy of eddy current sensor, a nonlinear compensation method of eddy current sensor based on wavelet neural network and genetic algorithm was proposed. The method uses nonlinear mapping ability of wavelet neural network to make input and output of the sensor linearization, and uses genetic algorithm to search the optimal initial value of the wavelet neural network to strengthen network nonlinear approximation ability and convergence capability, which can significantly improve nonlinear compensation effect of eddy current sensor. The experimental results show that accuraty of the sensor is improved greatly after the compensation, the maximum absolute error of output voltage of the sensor is 15.55 mV, the maximum relative error is 1.36%, and nonlinear error is 0.34%.http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2015.09.019eddy current sensornonlinear compensationwavelet neural networkgenetic algorithm |
spellingShingle | FU Lihua WANG Gang Nonlinear compensation of eddy current sensor based on wavelet neural network Gong-kuang zidonghua eddy current sensor nonlinear compensation wavelet neural network genetic algorithm |
title | Nonlinear compensation of eddy current sensor based on wavelet neural network |
title_full | Nonlinear compensation of eddy current sensor based on wavelet neural network |
title_fullStr | Nonlinear compensation of eddy current sensor based on wavelet neural network |
title_full_unstemmed | Nonlinear compensation of eddy current sensor based on wavelet neural network |
title_short | Nonlinear compensation of eddy current sensor based on wavelet neural network |
title_sort | nonlinear compensation of eddy current sensor based on wavelet neural network |
topic | eddy current sensor nonlinear compensation wavelet neural network genetic algorithm |
url | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2015.09.019 |
work_keys_str_mv | AT fulihua nonlinearcompensationofeddycurrentsensorbasedonwaveletneuralnetwork AT wanggang nonlinearcompensationofeddycurrentsensorbasedonwaveletneuralnetwork |