• Laser & Optoelectronics Progress
  • Vol. 57, Issue 18, 181005 (2020)
Yuan Fang, Yang Zhou*, Jing Zhao, and Kaige Gong
Author Affiliations
  • School of Electrical Engineering and Automation, Anhui University, Hefei, Anhui 230601, China
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    DOI: 10.3788/LOP57.181005 Cite this Article Set citation alerts
    Yuan Fang, Yang Zhou, Jing Zhao, Kaige Gong. Fast-Precision Measurement Method of Linear Motor Mover Position[J]. Laser & Optoelectronics Progress, 2020, 57(18): 181005 Copy Citation Text show less
    Linear motor mover position measurement system
    Fig. 1. Linear motor mover position measurement system
    Fence stripe images of different kinds. (a) Image of periodic fence; (b) aperiodic fence image of equal stripe width; (c) aperiodic fence image of black-white; (d) aperiodic fence image of gray scale
    Fig. 2. Fence stripe images of different kinds. (a) Image of periodic fence; (b) aperiodic fence image of equal stripe width; (c) aperiodic fence image of black-white; (d) aperiodic fence image of gray scale
    Measurement errors of different algorithms. (a) Measurement errors of five algorithms; (b) comparison of measurement errors of two algorithms
    Fig. 3. Measurement errors of different algorithms. (a) Measurement errors of five algorithms; (b) comparison of measurement errors of two algorithms
    Displacement detection results under different intensity noises
    Fig. 4. Displacement detection results under different intensity noises
    Runtime of different algorithms
    Fig. 5. Runtime of different algorithms
    Regression structure diagram of DNN
    Fig. 6. Regression structure diagram of DNN
    Modeling process of DNN
    Fig. 7. Modeling process of DNN
    Accuracy check of models. (a) DNN model; (b) SVM model
    Fig. 8. Accuracy check of models. (a) DNN model; (b) SVM model
    Number of iterations of GA
    Fig. 9. Number of iterations of GA
    Experiment platform of position detection
    Fig. 10. Experiment platform of position detection
    Signals acquired by line-scanning camera
    Fig. 11. Signals acquired by line-scanning camera
    Error curves under different illuminations
    Fig. 12. Error curves under different illuminations
    Measurement results of different target images
    Fig. 13. Measurement results of different target images
    Tracking accuracy of different speeds
    Fig. 14. Tracking accuracy of different speeds
    ParameterNameMinimumvalueMaximumvalue
    gaverage graygradient311
    swidth standarddeviation39
    Table 1. Design parameters of the fence image
    SerialnumberAveragegray gradientWidth standarddeviationMeanerror /pixel
    No.18.336.990.0286
    No.27.177.080.0054
    No.34.336.490.1032
    No.48.256.290.0102
    No.56.047.390.0259
    No.68.317.560.0204
    No.6596.457.550.0513
    No.6605.347.040.0783
    Table 2. Output of different fence images
    ParameterNameOptimized result
    gaverage gray gradient10.98
    swidth standard deviation4.96
    Table 3. Optimized design parameters
    Yuan Fang, Yang Zhou, Jing Zhao, Kaige Gong. Fast-Precision Measurement Method of Linear Motor Mover Position[J]. Laser & Optoelectronics Progress, 2020, 57(18): 181005
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