Application of Kalman Filtering Algorithm in Laser Triangulation Measurement

被引：0

作者：

Wen Xiao-qin ^{[1
]}

Liang Jun-yuan ^{[1
]}

机构：

[1] South China Univ Technol, Sch Automat Sci & Engn, Ministerial Key Lab Autonomous Syst & Networked C, Guangzhou 510640, Guangdong, Peoples R China

来源：

PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017) | 2017年

基金：

中国国家自然科学基金;

关键词：

Kalman filter algorithm; triangulation method; data processing; measurement precision;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to improve the measurement precision of the laser displacement sensor. First, the cause of the error caused by the measured surface features is analyzed from the measurement principle of laser triangulation. Then, according to the result of error analysis, the Kalman filter algorithm is applied to the sensor data to carry out error compensation. Finally, the experiments were carried out with LS-100CP laser displacement sensor and MATLAB. The experimental results show that the Kalman filter algorithm in the application of laser triangula(1)tion measurement is feasible, effective and have a good practical value.

引用

页码：5523 / 5527

页数：5

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