Cha Y P, Cai J J, Peng X L. Error Analysis of Spatial Shape Reconstruction of FBG-based Thin Plate[J]. Study on Optical Communications, 2025(5): 240164.
Cha Y P, Cai J J, Peng X L. Error Analysis of Spatial Shape Reconstruction of FBG-based Thin Plate[J]. Study on Optical Communications, 2025(5): 240164. DOI: 10.13756/j.gtxyj.2025.240164.
Error Analysis of Spatial Shape Reconstruction of FBG-based Thin Plate
In order to realize the rapid and accurate detection and reconstruction of the spatial shape of the plate structure
a 4-point Fiber Bragg Grating (FBG) string is surface-mounted on a high-manganese steel thin plate to form a shape-sensing unit. Leveraging the advantages of FBGs-lightweight
compact size
high sensitivity
immunity to electromagnetic interference
and wavelength-division multiplexing-the system integrates a reconstruction algorithm to achieve shape sensing and visual reconstruction of thin-plate structures.
【Methods】
2
The principle of curvature sensing and spatial shape reconstruction of thin plate after temperature correction is analyzed. The temperature and curvature calibration experiments of thin plate structure based on FBG are carried out. By fitting temperature sensitivity
curvature sensitivity
and the relationship between curvature and wave-length shift
six curvature combinations are derived. Then the curvature interpolation algorithm of linear interpolation
quadratic function interpolation or cubic spline curvature interpolation is used to interpolate the curvature
and more discrete curvature points are obtained. After the coordinate information of the thin plate is obtained by the coordinate transformation of the curvature
the spatial shape of thin plate is reconstructed by using B-spline surface fitting.
【Results】
2
The curvature sensitivity of the sheet metal is experimentally measured as -0.154
-0.248
-0.257 and -0.235 nm/mm
respectively. The error of surface reconstruction is significantly reduced by temperature correction. Among these methods
cubic spline interpolation achieve the lowest error in both single-curvature (1.86%) and variable-curvature (2.04%) surface reconstruction
thus exhibiting the superior performance.
【Conclusion】
2
The proposed method effectively mitigates environmental interference through temperature correction and enhances the surface reconstruction accuracy by employing a cubic spline interpolation algorithm
thereby enabling simultaneous prediction of displacement
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Related Institution
College of Electrical and Electronic Engineering, Hubei University of Technology
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School of Computer and Information Engineering, Shanghai Polytechnic University