• Opto-Electronic Engineering
  • Vol. 50, Issue 10, 230177-1 (2023)
Hongmei Wu1、2、3、4, Chen Wang5, Nian Feng1、2、3、4, Li Wen1、2、3、4, and Tao Tang1、2、3、4、*
Author Affiliations
  • 1National Key Laboratory of Optical Field Manipulation Science and Technology, Chinese Academy of Sciences, Chengdu, Sichuan 610209, China
  • 2Key Laboratory of Optical Engineering, Chinese Academy of Sciences, Chengdu, Sichuan 610209, China
  • 3Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan 610209, China
  • 4University of Chinese Academy of Sciences, Beijing 100049, China
  • 5The Military Representative Office of the Military Representative Bureau of the Equipment Department of the Aerospace System Department in Chengdu, Chengdu, Sichuan 610000, China
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    DOI: 10.12086/oee.2023.230177 Cite this Article
    Hongmei Wu, Chen Wang, Nian Feng, Li Wen, Tao Tang. Adaptive tip-tilt disturbance suppression technique for characteristic disturbance frequency identification[J]. Opto-Electronic Engineering, 2023, 50(10): 230177-1 Copy Citation Text show less

    Abstract

    In order to suppress the time-varying disturbance in the tip-tilt correction system, an adaptive disturbance suppression method based on characteristic disturbance frequency identification is proposed in this paper. The least mean square error criterion is used to identify the characteristic disturbance frequency of the closed-loop system error, and the identified filtering parameters and controller adjustment are designed in parallel. At the same time, a method based on frequency splitting is proposed: combining low-frequency disturbance with high-frequency disturbance suppression, which further improves the speed of characteristic frequency identification and simplifies the design process, and realizes adaptive disturbance suppression in the closed-loop bandwidth. The closed-loop verification of the proposed method is carried out in the tip-tilt correction device. The experimental results show that the method can quickly identify the characteristic disturbance and adaptively adjust the controller, which can improve the closed-loop performance of the system under single-frequency and multi-frequency time-varying disturbance.
    Hongmei Wu, Chen Wang, Nian Feng, Li Wen, Tao Tang. Adaptive tip-tilt disturbance suppression technique for characteristic disturbance frequency identification[J]. Opto-Electronic Engineering, 2023, 50(10): 230177-1
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