Laser & Optoelectronics Progress, Volume. 57, Issue 23, 230101(2020)

Hybrid Control Method for Adaptive Optics System

Jiaying Wang1,2,3, Youming Guo1,2、*, Lin Kong1,2, Kele Chen1,2,3, and Changhui Rao1,2、*
Author Affiliations
  • 1Key Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu, Sichuan 610209, China
  • 2Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan 610209, China
  • 3University of Chinese Academy of Sciences, Beijing 100049, China
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    When using linear quadratic Gaussian (LQG) control on each mode, the higher-order disturbance model not only requires non-negligible identification effort but also leads to the calculations of high-order control matrix, which greatly increases the computational burden of the real-time processor. To address this problem, we propose a hybrid control method for adaptive optics (AO) system, which is feasible from an implementation viewpoint. This method combines the optimal modal gain integral control (OMGI) and LQG control algorithm, and designs the control strategy of the corresponding mode according to whether the mode is affected by narrow-band disturbances. The performances of the proposed control method are evaluated using the on-sky measurement data recorded by the 1-m New Vacuum Solar Telescope (NVST) at Fuxian Solar Observatory (FSO). The results show that 95.85% of disturbances are effectively filtered by the hybrid control method. Compared with the full-OMGI, the narrow-band disturbances at different frequencies are significantly suppressed. And compared with the full-LQG, the execution time of identification procedure is reduced by 37.77% and the control calculation time is reduced by 73.8%, which is more beneficial for the real-time mitigation of disturbance.

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    Jiaying Wang, Youming Guo, Lin Kong, Kele Chen, Changhui Rao. Hybrid Control Method for Adaptive Optics System[J]. Laser & Optoelectronics Progress, 2020, 57(23): 230101

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    Paper Information

    Category: Atmospheric Optics and Oceanic Optics

    Received: Mar. 6, 2020

    Accepted: Apr. 23, 2020

    Published Online: Dec. 8, 2020

    The Author Email: Guo Youming (ymguoioe@126.com), Rao Changhui (ymguoioe@126.com)

    DOI:10.3788/LOP57.230101

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