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Laser & Optoelectronics Progress, Volume. 62, Issue 3, 0314004(2025)

Simulation and Verification of Beam Combination Using a Stochastic Parallel Gradient Descent Algorithm with Energy Feedback Adaptation

Jianhong Li1、*, Liang Gao1,2, Yan An1,2, Lichao Hu1, Xiang Li1,2, Yansong Song1,2, and Keyan Dong1,2
Author Affiliations
  • 1School of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun 130022, Jilin , China
  • 2National and Local Joint Engineering Research Center of Space Optoelectronic Technology, Changchun University of Science and Technology, Changchun 130022, Jilin , China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (13)
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    References (29)
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    Figures & Tables(13)
    Flowchart of improved algorithm

    Fig. 1. Flowchart of improved algorithm

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    Schematic diagram of beam combining system

    Fig. 2. Schematic diagram of beam combining system

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    Optical principle diagram of closed-loop control for beam combining

    Fig. 3. Optical principle diagram of closed-loop control for beam combining

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    3-way beam combination by traditional algorithm. (a) Spot before beam combining; (b) spot after beam combining; (c) experimental iteration curves for 100 times; (d) energy before beam combining; (e) energy after beam combining; (f) average value of experimental iteration curves for 100 times

    Fig. 4. 3-way beam combination by traditional algorithm. (a) Spot before beam combining; (b) spot after beam combining; (c) experimental iteration curves for 100 times; (d) energy before beam combining; (e) energy after beam combining; (f) average value of experimental iteration curves for 100 times

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    3-way beam combination by improved algorithm. (a) Spot before beam combining; (b) spot after beam combining; (c) experimental iteration curves for 100 times; (d) energy before beam combining; (e) energy after beam combining; (f) average value of experimental iteration curves for 100 times

    Fig. 5. 3-way beam combination by improved algorithm. (a) Spot before beam combining; (b) spot after beam combining; (c) experimental iteration curves for 100 times; (d) energy before beam combining; (e) energy after beam combining; (f) average value of experimental iteration curves for 100 times

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    19-way beam combination by traditional algorithm. (a) Spot before beam combining; (b) spot after beam combining; (c) experimental iteration curves for 100 times; (d) energy before beam combining; (e) energy after beam combining; (f) average value of experimental iteration curves for 100 times

    Fig. 6. 19-way beam combination by traditional algorithm. (a) Spot before beam combining; (b) spot after beam combining; (c) experimental iteration curves for 100 times; (d) energy before beam combining; (e) energy after beam combining; (f) average value of experimental iteration curves for 100 times

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    19-way beam combination by improved algorithm. (a) Spot before beam combining; (b) spot after beam combining; (c) experimental iteration curves for 100 times; (d) energy before beam combining; (e) energy after beam combining; (f) average value of experimental iteration curves for 100 times

    Fig. 7. 19-way beam combination by improved algorithm. (a) Spot before beam combining; (b) spot after beam combining; (c) experimental iteration curves for 100 times; (d) energy before beam combining; (e) energy after beam combining; (f) average value of experimental iteration curves for 100 times

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    37-way beam combination by traditional algorithm. (a) Spot before beam combining; (b) spot after beam combining; (c) experimental iteration curves for 100 times; (d) energy before beam combining; (e) energy after beam combining; (f) average value of experimental iteration curves for 100 times

    Fig. 8. 37-way beam combination by traditional algorithm. (a) Spot before beam combining; (b) spot after beam combining; (c) experimental iteration curves for 100 times; (d) energy before beam combining; (e) energy after beam combining; (f) average value of experimental iteration curves for 100 times

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    37-way beam combination by improved algorithm. (a) Spot before beam combining; (b) spot after beam combining; (c) experimental iteration curves for 100 times; (d) energy before beam combining; (e) energy after beam combining; (f) average value of experimental iteration curves for 100 times

    Fig. 9. 37-way beam combination by improved algorithm. (a) Spot before beam combining; (b) spot after beam combining; (c) experimental iteration curves for 100 times; (d) energy before beam combining; (e) energy after beam combining; (f) average value of experimental iteration curves for 100 times

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    3-way beam collimation launching system

    Fig. 10. 3-way beam collimation launching system

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    Diagram of experimental device

    Fig. 11. Diagram of experimental device

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    Convergence curves. (a) Traditional algorithm; (b) improved algorithm

    Fig. 12. Convergence curves. (a) Traditional algorithm; (b) improved algorithm

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    Acquisition voltages. (a) Before control; (b) after traditional algorithm control; (c) after improved algorithm control

    Fig. 13. Acquisition voltages. (a) Before control; (b) after traditional algorithm control; (c) after improved algorithm control

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    Jianhong Li, Liang Gao, Yan An, Lichao Hu, Xiang Li, Yansong Song, Keyan Dong. Simulation and Verification of Beam Combination Using a Stochastic Parallel Gradient Descent Algorithm with Energy Feedback Adaptation[J]. Laser & Optoelectronics Progress, 2025, 62(3): 0314004

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    Paper Information

    Category: Lasers and Laser Optics

    Received: May. 6, 2024

    Accepted: Jun. 3, 2024

    Published Online: Feb. 10, 2025

    The Author Email:

    DOI:10.3788/LOP241221

    CSTR:32186.14.LOP241221

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology