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Linearization of Sensor’s Nonlinearity by Using Genetic Algorithms and Neural Network(PDF)

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2002年03期
Page:
11-15
Research Field:
Publishing date:

Info

Title:
Linearization of Sensor’s Nonlinearity by Using Genetic Algorithms and Neural Network
Author(s):
Liu Qing
College of Mathematics Science and Computer Science, Nanjing Normal Univ, 210042, Nanjing,PRC
Keywords:
measur ement;  nonlinear ity;  linearization;  error;  neur al network;  genetic algorithms
PACS:
TP183
DOI:
-
Abstract:
The sensors nonlinear ity of measurement is usually linear ized by means of the least squar e method and t he first approximation etc. . Therefor e, a nonlinear error will be made which limits the accuracy and performance of the system. In this paper, a method is put forth that linear izes sensors nonlinearity by using genetic algorithms and neural network. With the method used, the nonlinear model of the measur ing system can be retrofitted into a non- distortion linear mo del t hat is consistent w ith the actual physical process, and t he nonlinear error o f the system can be greatly reduced. An example is intro duced, w ith t he experimental results showing that t he method is practicable.

References:

[ 1] 金篆苌, 王明时. 现代传感器[ M] . 北京: 电子出版社, 1995.
[ 2] Anto nio B, Gaetano C. Optimal desig n of multivariate sensor[ J] . Measur e Sci and T ech. 1994, 4( 5) : 319~ 322.
[ 3] 冯之敬, 刘金凌, 等. 测量与控制系统中非线性特性的不失真线性化方法[ J] . 清华大学学报( 自然科学版) , 1996, 36( 8) : 18~ 23.
[ 4] Dempsey G l , Alig J S, et al. Contr ol Sensor Linear ization using Artificial Neural Net-w ork[ J] . Analog Integ rated Circuits and Signal Processing . 1997, 13( 3) : 321~ 322.
[ 5] 王庆玮, 王安, 等. 色度传感器非线性误差校正的神经网络模型[ J] . 传感器技术, 1998, 17( 2) : 299~ 300.
[ 6] 庄哲民, 黄惟一, 等. 提高传感器精度的神经网络方法[ J] . 计量学报, 2002, 23( 1) : 78~ 80.
[ 7] Vladik K. Genetic Algor ithms: What Fitness Scaling is Optimal[M] . Cybernetic and System , 1993( 24) , 9~ 26.
[ 8] 徐丽娜. 神经网络控制[M] . 哈尔滨: 哈尔滨工业大学出版社. 1999, 91~ 101.
[ 9] 闻新, 周露, 王丹力, 熊晓英. MATLAB 神经网络应用设计[M] . 北京: 科学出版社, 2000.

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Last Update: 2013-04-29