Analysis of structure deformation detection precision based on fiber optic gyro

被引:0
|
作者
Guo C. [1 ]
机构
[1] Zhejiang Dali Tech.Co.Ltd, Hangzhou
关键词
deformation detection; fiber optic gyro; moving speed; simulation analysis;
D O I
10.13695/j.cnki.12-1222/o3.2024.03.014
中图分类号
学科分类号
摘要
In order to solve the problem that the precision evaluation and the choice of moving speed are difficult when fiber optic gyro is used to detect structure deformation, the relationship between the performance of fiber optic gyroscope and the measurement error is analyzed. Based on the error model and the mechanism of engineering structure deformation detection of fiber optic gyroscope, the relationship between bias repeatability error, stability error and deformation detection error of fiber optic gyroscope is analyzed. Then the relationship between the moving speed and detection accuracy of the detection system is also simulated and analyzed. The simulation results show that when the moving speed is relatively fast, the stability error of the fiber optic gyro is the main factor affecting the detection accuracy, when the moving speed is relatively low, the repeatability error of the fiber optic gyro is the main factor affecting the detection accuracy, if a medium-precision fiber optic gyro is used and the moving speed is 2 m/s, the deformation detection accuracy is 8.514 μm (RMS). The research results can provide theoretical guidance for the engineering application of fiber optic gyro structure deformation detection system. © 2024 Editorial Department of Journal of Chinese Inertial Technology. All rights reserved.
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收藏
页码:314 / 318
页数:4
相关论文
共 14 条
  • [1] Zhao X., Automatic detection system of hull frame deformation under different loads, Ship Science and Technology, 45, 3, pp. 137-140, (2023)
  • [2] Adi W, Satriawan R, Cecep P, Et al., Anomaly detection on displacement rates and deformation pattern features using tree-based algorithm in Japan and Indonesia, Geodesy and Geodynamics, 14, 2, pp. 150-162, (2023)
  • [3] Ji Y, Li Z, Liu L, Et al., A deformation detection method for aircraft skin on uniform pressure by using speckle image correlation technology, Measurement, 154, (2020)
  • [4] LEE D, LEE S., Seamless image stitching by homography refinement and structure deformation using optimal seam pair detection, Journal of electronic imaging, 26, 6, pp. 630161-6301610, (2017)
  • [5] Lian B, Jian J, Wei Y, Et al., Gravitational deformation measurement method for the main reflector and sub-reflector of the 70 m antenna by laser scanner, Research in Astronomy and Astrophysics, 22, 9, pp. 1-9, (2022)
  • [6] Shen N, Chen L, Chen R., Displacement detection based on Bayesian inference from GNSS kinematic positioning for deformation monitoring, 167, (2022)
  • [7] Li S, Gao Y, Jin H., Upper crustal deformation characteristics in the northeastern Tibetan Plateau and its adjacent areas revealed by GNSS and anisotropy data, Acta Seismologica Sinica, 36, 4, pp. 297-308, (2023)
  • [8] Chen Q, Yang L, Yang G, Et al., Geometric shape analysis based finger vein deformation detection and correction, eurocomputing, 311, pp. 112-125, (2018)
  • [9] Kordell Jonathan, Yu M, Et al., A fiber optic conjugate stress sensor for instantaneous tangent modulus detection targeting prognostic health monitoring applications, Smart Materials & Structures, 31, 7, (2022)
  • [10] Wang L, Hu W., Deflection measurement using fiber optic gyro, Journal of Wuhan University of Technology, 24, 8, pp. 50-52, (2002)