Optics and Precision Engineering, Volume. 29, Issue 12, 2964(2021)

Spacecraft structure reconstruction with fiber bragg grating and incremental extreme learning machine

Fu-sheng ZHANG1,*... Lei ZHANG2 and Yang ZHAO1 |Show fewer author(s)
Author Affiliations
  • 1Beijing Institute of Spacecraft System Engineering, Beijing00094, China
  • 2College of Control Science and Engineering, Shandong University, Jinan50061, China
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    Figures & Tables(15)
    Structure of spacecraft cabin
    Flow chart of 3D surface reconstruction
    Quasi distributed fiber Bragg grating sensor network
    Structural deformation diagram
    Extreme learning machine learning network
    Working flow of I_ELM
    Wavelength shift of FBG sensor
    Three sensor network layouts
    Model error of I_ELM
    3D reconstruction of deformed surface
    • Table 1. Design parameters of quasi distributed sensor networks

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      Table 1. Design parameters of quasi distributed sensor networks

      ParametersParameter settingParametersParameter setting
      Measuring range±1000 μεNumber of FBG24
      Transformation factor1.22 pm/μεPaste locationcompletely pasted on surface
      Inter-sensor buffer0.3 nmPaste reagentEpoxy glue
      Minimum wavelength interval2.74 nmNetwork formQuasi-distributed network
    • Table 2. Strain data of FBG measuring points

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      Table 2. Strain data of FBG measuring points

      Fiber channel 1 (×10-6
      StepFBG1FBG2FBG3FBG4FBG5FBG6FBG7FBG8FBG9FBG10FBG11FBG12
      123.811.514.830.3104.118.916.494.326.223.0-10.714.8
      231.112.319.744.3145.929.526.2132.839.331.1-17.220.5
      341.010.725.460.7191.844.339.3173.054.139.3-27.927.0
      453.37.430.376.2235.260.753.3209.068.947.5-39.335.2
      569.70.836.192.6276.277.068.0242.684.456.6-55.742.6
      686.9-17.236.9108.2318.991.884.4280.3106.671.3-77.953.3
      Fiber channel 2 (×10-6
      StepFBG13FBG14FBG15FBG16FBG17FBG18FBG19FBG20FBG21FBG22FBG23FBG24
      118.9-7.413.918.986.923.827.0103.322.112.321.316.4
      224.6-13.118.927.9127.035.239.3143.434.418.914.823.0
      334.4-23.826.240.2161.550.056.6184.449.227.910.731.1
      442.6-34.434.453.3191.863.973.0218.964.836.93.338.5
      551.6-47.542.668.0220.580.389.3252.582.046.7-8.248.4
      660.7-69.755.786.1250.098.4107.4289.3103.360.7-26.259.0
    • Table 3. Measurement point data of shift amount

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      Table 3. Measurement point data of shift amount

      Step12345
      10.7910.8311.5180.6610.687
      21.1921.2332.2190.9711.006
      31.7021.7293.0111.3381.374
      42.2582.2343.7831.7201.741
      52.9112.8164.5672.1302.126
      63.4953.3255.3822.5832.542
    • Table 4. Model error of I_ELM

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      Table 4. Model error of I_ELM

      SituationRunning time/sRMSE/mmMAE/mm
      10.298 70.003 70.044 8
      20.289 30.004 10.047 5
      30.278 90.005 20.046 0
    • Table 5. Reconstruction error of I_ELM,ELM and curvature transformation method

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      Table 5. Reconstruction error of I_ELM,ELM and curvature transformation method

      ErrorAlgorithm123456
      MAE/mmELM0.0430.0600.0650.0360.0740.034
      CTM0.1080.0740.0960.0490.0400.030
      I_ELM0.0240.0330.0420.0490.0400.030
      RMSE/mmELM0.002 00.003 80.004 70.002 10.006 20.001 5
      CTM0.013 90.008 20.012 50.013 30.056 80.060 3
      I_ELM0.001 00.001 80.002 70.004 30.002 60.001 8
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    Fu-sheng ZHANG, Lei ZHANG, Yang ZHAO. Spacecraft structure reconstruction with fiber bragg grating and incremental extreme learning machine[J]. Optics and Precision Engineering, 2021, 29(12): 2964

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    Paper Information

    Category: Information Sciences

    Received: May. 6, 2021

    Accepted: --

    Published Online: Jan. 20, 2022

    The Author Email: ZHANG Fu-sheng (zhang_cast@126.com)

    DOI:10.37188/OPE.20212912.2964

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