Metrology & Measurement Technology, Volume. 45, Issue 3, 78(2025)

Static model identification of quartz flexible accelerometer based on PSO⁃BP

Youzhi SHI1、*, Renjian FENG1, and Xiaoting LI2
Author Affiliations
  • 1School of Instrument Science and Opto⁃electronics Engineering, Beihang University, Beijing100191, China
  • 2AVIC Changcheng Institute of Metrology & Measurement, Beijing100095, China
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    Figures & Tables(11)
    BP neural network structure with three layers
    Flowchart of PSO⁃BP neural network
    Precision centrifuge for experiment
    Mean square error of BP neural network fitting
    Mean square error of PSO⁃BP neural network fitting
    Evolutionary convergence curve of PSO
    Predictions on the test set
    Prediction errors of BP and PSO⁃BP
    • Table 1. Mean square error calculation results of the training set with different number of hidden layer nodes

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      Table 1. Mean square error calculation results of the training set with different number of hidden layer nodes

      隐含层节点数 / 个训练集均方误差 / (m / s2)2
      31.087 8 × 10-5
      44.252 1 × 10-5
      51.394 8 × 10-5
      62.066 1 × 10-5
      78.272 6 × 10-5
      88.351 7 × 10-6
      91.288 2 × 10-5
      106.133 6 × 10-5
      111.091 1 × 10-4
      122.112 4 × 10-5
    • Table 2. Static model coefficients identified by three algorithms

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      Table 2. Static model coefficients identified by three algorithms

      系数LSMGMDHPSO⁃BP
      K02.274 5 × 10-51.346 62 × 10-51.306 17 × 10-5
      Ki10.999 980.999 979
      Ko6.953 × 10-56.869 24 × 10-5
      Kp5.986 84 × 10-65.320 93 × 10-6
      Kio2.532 2 × 10-52.536 35 × 10-52.584 44 × 10-5
      Kip5.911 5 × 10-56.002 17 × 10-56.090 3 × 10-5
      Kop7.145 91 × 10-5
      Kii4.825 4 × 10-54.867 35 × 10-54.817 09 × 10-5
      Koo3.653 9 × 10-64.265 6 × 10-63.411 39 × 10-6
      Kpp3.583 9 × 10-63.986 23 × 10-64.561 5 × 10-6
      Kiii4.712 7 × 10-64.786 86 × 10-65.408 49 × 10-6
      Kooo4.022 96 × 10-8
      Koii1.730 53 × 10-7
      Kpoo6.581 32 × 10-7
      Kipp7.881 69 × 10-7
    • Table 3. Test set prediction error for BP and PSO⁃BP

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      Table 3. Test set prediction error for BP and PSO⁃BP

      算法MMAE / (m / s2)MMSE / (m / s2)2RRMSE / (m / s2)MMAPE / %R2
      BP0.041 6770.002 688 40.051 8490.029 7040.999 64
      PSO⁃BP0.002 536 49.178 × 10-60.003 029 60.012 6950.999 956
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    Youzhi SHI, Renjian FENG, Xiaoting LI. Static model identification of quartz flexible accelerometer based on PSO⁃BP[J]. Metrology & Measurement Technology, 2025, 45(3): 78

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    Paper Information

    Category: Sensor Technology

    Received: Mar. 3, 2025

    Accepted: --

    Published Online: Jul. 31, 2025

    The Author Email:

    DOI:10.11823/j.issn.1674-5795.2025.03.07

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