用于光纤光栅曲线重建算法的坐标点拟合

章亚男; 肖海; 沈林勇

doi:10.3788/OPE.20162409.2149

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用于光纤光栅曲线重建算法的坐标点拟合

现代应用光学 | 更新时间：2020-07-07

- 用于光纤光栅曲线重建算法的坐标点拟合
- Coordinate point fitting in FBG curve reconstruction algorithm
- 光学精密工程 2016年24卷第9期页码：2149-2157
- 作者机构：
  
  上海大学机电工程与自动化学院, 上海 200072
- 作者简介：
  
  章亚男(1962-), 女, 浙江绍兴人, 博士, 教授, 1982年于浙江大学获得学士学位, 2011年于上海大学获得博士学位, 主要研究方向为数字医疗设备与光电传感技术。E-mail:ynzhang@shu.edu.cn E-mail:ynzhang@shu.edu.cn
  [ "肖海(1991-), 男, 上海人, 硕士研究生, 2013年、2016年于上海大学分别获得学士、硕士学位, 主要研究方向为光纤光栅形状传感技术。E-mail:hai-xiao@163.com" ]
- 基金信息：
  
  国家科技支撑计划资助项目(2013BAK03B01-02)
- DOI：10.3788/OPE.20162409.2149
  中图分类号： TN253
- 收稿日期：2016-03-04，
  
  录用日期：2016-5-19，
  
  纸质出版日期：2016-09
- 稿件说明：
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章亚男, 肖海, 沈林勇. 用于光纤光栅曲线重建算法的坐标点拟合[J]. 光学精密工程, 2016,24(9):2149-2157.

Ya-nan ZHANG, Hai XIAO, Lin-yong SHEN. Coordinate point fitting in FBG curve reconstruction algorithm[J]. Optics and precision engineering, 2016, 24(9): 2149-2157.
章亚男, 肖海, 沈林勇. 用于光纤光栅曲线重建算法的坐标点拟合[J]. 光学精密工程, 2016,24(9):2149-2157. DOI： 10.3788/OPE.20162409.2149.

Ya-nan ZHANG, Hai XIAO, Lin-yong SHEN. Coordinate point fitting in FBG curve reconstruction algorithm[J]. Optics and precision engineering, 2016, 24(9): 2149-2157. DOI： 10.3788/OPE.20162409.2149.

摘要

以光纤布拉格光栅（FBG）曲线传感器在结肠中的形状检测为背景，提出了一种基于Frenet标架的坐标点拟合算法来提高光纤光栅曲线重建算法的精度。首先，将相互之间呈90°的四根光纤光栅贴在一根形状记忆合金（SMA Styrene Maleic Anhydride）基材周围，形成一根直径为3 mm，长度为900 mm的光纤光栅曲线传感器。接着，将该曲线传感器分别放置在毫米方格纸以及圆柱体上进行二维和三维曲线的重建。通过曲线重建软件读出每个数据采集点的重建坐标值，并与通过方格纸读出的标准坐标值对比得出重建误差，从而得出两种坐标点拟合方法的优劣。结果表明：使用基于Frenet标架的坐标点拟合算法可有效提高重建精度。对提出的算法与常用的曲线重建算法进行了比较，结果显示：在接近光纤光栅应变极限的情况下，使用基于Frenet标架的坐标点拟合算法在单方向上能够比原算法平均减小约3.5%~5.5%的误差，为进一步提高光纤光栅形状传感系统的精度奠定了基础。

Abstract

To detect the shape of a Fiber Bragg Grating(FBG) sensor in a colon

a coordinate fitting method based on Frenet frame was proposed to improve the precision of the FBG curve reconstruction algorithm. Firstly

four FBGs perpendicular to each other were clinged to one Shape Memory Alloys(SMA) substrate. Hence

one FBG curve sensor with a diameter of 3 mm and a length of 900 mm was formed. Then

this sensor was put on a millimeter-square graph paper and a cylinder respectively to accomplish the reconstruction of 2D and 3D curves. Furthermore

every reconstructed value of data collection points was read from the curve reconstruction software and reconstruction errors were acquired by the contrast between the reconstructed values and the standard values read from the coordinate paper. Finally

the merit degree between two fitting methods was obtained. Experimental results show that the proposed coordinate fitting method based on Frenet frame effectively improves the reconstruction accuracy. When the FBG achieves their ultimate strain

the proposed fitting method can reduce the average error by 3.5%-5.5% at single direction

which lays a foundation for the precision upgrading of the FBG curve sensing system.

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references

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