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

被引：0
|
作者：
Jie-rong Guo
Yi-gang He
Chang-qing Liu
机构：
[1] Hunan University of Arts and Science,College of Physics and Electronics
[2] Hunan University,College of Electrical and Information Engineering
来源：
Journal of Central South University | 2011年 / 18卷
关键词：
least square support vector machine; position; photoelectric displacement sensor; nonlinear correct;
D O I：
暂无
中图分类号：
学科分类号：
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
收藏
页码：1614 / 1618
页数：4
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