Nonlinear correction of photoelectric displacement sensor based on least square support vector machine

被引：7

作者：

Guo Jie-rong ^{[1
,2
]}

He Yi-gang ^{[2
]}

Liu Chang-qing ^{[1
]}

机构：

[1] Hunan Univ Arts & Sci, Coll Phys & Elect, Changde 415000, Peoples R China

[2] Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Hunan, Peoples R China

来源：

JOURNAL OF CENTRAL SOUTH UNIVERSITY OF TECHNOLOGY | 2011年 / 18卷 / 05期

基金：

中国国家自然科学基金;

关键词：

least square support vector machine; position; photoelectric displacement sensor; nonlinear correct;

D O I：

10.1007/s11771-011-0880-6

中图分类号：

TF [冶金工业];

学科分类号：

0806 ;

摘要：

A model of correcting the nonlinear error of photoelectric displacement sensor was established based on the least square support vector machine. The parameters of the correcting nonlinear model, such as penalty factor and kernel parameter, were optimized by chaos genetic algorithm. And the nonlinear correction of photoelectric displacement sensor based on least square support vector machine was applied. The application results reveal that error of photoelectric displacement sensor is less than 1.5%, which is rather satisfactory for nonlinear correction of photoelectric displacement sensor.

引用

页码：1614 / 1618

页数：5

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