• Laser & Optoelectronics Progress
  • Vol. 59, Issue 3, 0305002 (2022)
Wenjuan Sheng1、*, Zhengbin Hu1, Ning Yang1, and Gangding Peng2
Author Affiliations
  • 1School of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China
  • 2School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney , New South Wales 2052, Australia
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    DOI: 10.3788/LOP202259.0305002 Cite this Article Set citation alerts
    Wenjuan Sheng, Zhengbin Hu, Ning Yang, Gangding Peng. Demodulation of Temperature Stabilized Fiber Bragg Grating Sensor Based on Optimized Least Square Support Vector Machine[J]. Laser & Optoelectronics Progress, 2022, 59(3): 0305002 Copy Citation Text show less
    Flow chart of the improved BAS-PSO
    Fig. 1. Flow chart of the improved BAS-PSO
    Principle of the FBG sensor measurement system
    Fig. 2. Principle of the FBG sensor measurement system
    Position of the reference grating and sensor grating. (a) No strain condition; (b) strain condition
    Fig. 3. Position of the reference grating and sensor grating. (a) No strain condition; (b) strain condition
    Change curves of temperature and strain during the cooling process. (a) Temperature change; (b) spectral position; (c) G1; (d) G2
    Fig. 4. Change curves of temperature and strain during the cooling process. (a) Temperature change; (b) spectral position; (c) G1; (d) G2
    Change curves of strain and temperature after smoothing. (a) G1; (b) G2; (c) temperature
    Fig. 5. Change curves of strain and temperature after smoothing. (a) G1; (b) G2; (c) temperature
    Change curve of fitness function value with the number of iterations (G1)
    Fig. 6. Change curve of fitness function value with the number of iterations (G1)
    Change curve of fitness function value with the number of iterations (G2)
    Fig. 7. Change curve of fitness function value with the number of iterations (G2)
    AlgorithmGrid searchPSOBASBAS-PSOImproved BAS-PSO
    Maximum residual error±6.07±2.99±6.17±2.87±2.20
    Standard deviation2.071.412.831.411.07
    Table 1. Modeling compensation results of different optimization algorithms for G1unit: pm
    AlgorithmGrid searchPSOBASBAS-PSOImproved BAS-PSO
    Maximum residual error±8.65±3.90±12.77±3.30±3.03
    Standard deviation2.821.674.661.511.32
    Table 2. Modeling compensation results of different optimization algorithms for G2unit: pm
    AlgorithmMaximum residual error
    Ref.[16±3.50
    Ref.[7±22.00
    Ref.[17±18.22
    Optimized LSSVM±3.03
    Table 3. Temperature compensation error of different algorithmsunit: pm
    Wenjuan Sheng, Zhengbin Hu, Ning Yang, Gangding Peng. Demodulation of Temperature Stabilized Fiber Bragg Grating Sensor Based on Optimized Least Square Support Vector Machine[J]. Laser & Optoelectronics Progress, 2022, 59(3): 0305002
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