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Chinese Journal of Lasers, Volume. 47, Issue 1, 0105001(2020)

Self-Learning Control Model for Adaptive Optics Systems and Experimental Verification

Zhenxing Xu1,2,3,4、**, Ping Yang1,3,4、*, Tao Cheng1,3,4, Bing Xu1,3,4, and Heping Li2
Author Affiliations
  • 1Key Laboratory on Adaptive Optics, Institute of Optics and Electronics, Chinese Academy of Sciences,Chengdu, Sichuan 610209, China
  • 2School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China,Chengdu, Sichuan 610054, China
  • 3Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan 610209, China
  • 4University of Chinese Academy of Sciences, Beijing 100039, China
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    Figures & Tables(8)
    Typical adaptive optical systems

    Fig. 1. Typical adaptive optical systems

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    Network structures. (a) Standard BP neural network; (b) proposed network

    Fig. 2. Network structures. (a) Standard BP neural network; (b) proposed network

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    Structural diagram of adaptive optical hardware platform

    Fig. 3. Structural diagram of adaptive optical hardware platform

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    Adaptive optical hardware platform

    Fig. 4. Adaptive optical hardware platform

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    Visualized parameter. (a) Visualized generalized inverse matrix; (b) visualized network parameters after self-learning

    Fig. 5. Visualized parameter. (a) Visualized generalized inverse matrix; (b) visualized network parameters after self-learning

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    Correction performances of PI and NI models under actual AO system

    Fig. 6. Correction performances of PI and NI models under actual AO system

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    SR values of PI and NI models after system convergence

    Fig. 7. SR values of PI and NI models after system convergence

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    Convergence performance of control model. (a) Iterative process of index J when system produces random alignment error; (b) iterative process of index SR when system produces random alignment error

    Fig. 8. Convergence performance of control model. (a) Iterative process of index J when system produces random alignment error; (b) iterative process of index SR when system produces random alignment error

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    Zhenxing Xu, Ping Yang, Tao Cheng, Bing Xu, Heping Li. Self-Learning Control Model for Adaptive Optics Systems and Experimental Verification[J]. Chinese Journal of Lasers, 2020, 47(1): 0105001

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    Paper Information

    Category: beam transmission and control

    Received: Jun. 26, 2019

    Accepted: Sep. 26, 2019

    Published Online: Jan. 9, 2020

    The Author Email: Zhenxing Xu (xyhf2009@foxmail.com), Ping Yang (pingyang2516@163.com)

    DOI:10.3788/CJL202047.0105001

    Topics

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