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基于WOA的FBG形状传感器铺设角度偏差自矫正模型
引用本文:尚秋峰,刘峰. 基于WOA的FBG形状传感器铺设角度偏差自矫正模型[J]. 半导体光电, 2023, 44(5): 796-802
作者姓名:尚秋峰  刘峰
作者单位:电子与通信工程系;河北省电力物联网技术重点实验室;保定市光纤传感与光通信技术重点实验室, 河北 保定 071003
基金项目:河北省自然科学基金项目(E2019502179).*通信作者:刘峰 E-mail:liufeng202204@126.com
摘    要:FBG形状传感器的铺设角度偏差导致曲率和挠率测量误差,进而影响形状传感器的重构精度。针对该问题,文章提出了一种基于鲸鱼优化算法(Whale Optimization Algorithm, WOA)的FBG铺设角度偏差自矫正模型。重构实验验证了所提方法的有效性,不同形状的远端重构误差分别从11.66和22.6 mm降低至5.63和10.47 mm,相对误差分别从2.56%和4.96%降低至1.21%和2.25%,相对误差从2.56%和4.96%降低至0.95%和2.06%。

关 键 词:形状重构  光纤布拉格光栅  误差修正  鲸鱼优化算法
收稿时间:2023-06-29

Self-Correction Method of FBG Shape Sensor Placement Angle Deviation Based on WOA
SHANG Qiufeng,LIU Feng. Self-Correction Method of FBG Shape Sensor Placement Angle Deviation Based on WOA[J]. Semiconductor Optoelectronics, 2023, 44(5): 796-802
Authors:SHANG Qiufeng  LIU Feng
Affiliation:Dept.of Electronic and Communication Engineering;Hebei Key Lab.of Power Internet of Things Technology;Baoding Key Lab.of Optical Fiber Sensing and Optical Communication Technology, North China Electric Power University, Baoding 071003, CHN
Abstract:The laying angle deviation of FBG shape sensors leads to measurement errors in curvature and torsion, which in turn affects the reconfiguration accuracy of shape sensors. To address this issue, this paper proposes a self-calibration model for FBG laying angle deviation based on whale optimization algorithm (WOA). The reconfiguration experiment verified the effectiveness of the proposed method. The remote reconfiguration errors of different shapes were reduced from 11.66 and 22.6mm to 5.63 and 10.47mm, respectively. The relative errors were reduced from 2.56% and 4.96% to 1.21% and 2.25%, and the relative errors were reduced from 2.56% and 4.96% to 0.95% and 2.06%, respectively.
Keywords:shape reconfiguration   FBG   error correction   whale optimization algorithm
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