Adaptive tip-tilt disturbance suppression technique for characteristic disturbance frequency identification

Wu Hongmei; Wang Chen; Feng Nian; Wen Li; Tang Tao

doi:10.12086/oee.2023.230177

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Wu H M, Wang C, Feng N, et al. Adaptive tip-tilt disturbance suppression technique for characteristic disturbance frequency identification[J]. Opto-Electron Eng, 2023, 50(10): 230177. doi: 10.12086/oee.2023.230177

Citation:

Wu H M, Wang C, Feng N, et al. Adaptive tip-tilt disturbance suppression technique for characteristic disturbance frequency identification[J]. Opto-Electron Eng, 2023, 50(10): 230177. doi: 10.12086/oee.2023.230177

Adaptive tip-tilt disturbance suppression technique for characteristic disturbance frequency identification

1.
National Key Laboratory of Optical Field Manipulation Science and Technology, Chinese Academy of Sciences, Chengdu, Sichuan 610209, China
2.
Key Laboratory of Optical Engineering, Chinese Academy of Sciences, Chengdu, Sichuan 610209, China
3.
Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan 610209, China
4.
University of Chinese Academy of Sciences, Beijing 100049, China
5.
The Military Representative Office of the Military Representative Bureau of the Equipment Department of the Aerospace System Department in Chengdu, Chengdu, Sichuan 610000, China

Fund Project: Project supported by Sichuan Province Science and Technology Support Program (2021JDJQ0028)

More Information

^*Corresponding author: taotang@ioe.ac.cn

Received Date 18 July 2023

Revised Date 15 October 2023

Accepted Date 16 October 2023

Published Date 25 October 2023

Abstract

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.
- tip-tilt correction system /
- frequency splitting /
- characteristic frequency identification /
- adaptive disturbance suppression

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References

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Overview

Overview

The tip-tilt correction system is widely used in precision optical systems, such as high-resolution telescopes and free space optical communications, to achieve image stabilization and beam stabilization. In these precision optical systems, the tip-tilt correction system is affected by disturbance during beam stabilization control, which generally have unknown time-varying characteristics. Therefore, fast adaptive suppression of time-varying disturbances is a task of great significance, so plentiful adaptive control algorithms have been proposed which is mainly composed of control structure and parameter identification algorithms. Most adaptive control identification algorithms are based on spectrum analysis, which is a full frequency domain search method and has a large amount of calculation. At present, the time domain identification algorithm based on least mean square error criterion is relatively simple and fast, which provides a guarantee for the rapid adjustment of controller parameters. In addition, adaptive algorithms based on linear quadratic Gaussian (LQG) control or adaptive Kalman filter require accurate modeling and many parameters for adjusting controller, which is complicated and time-consuming. However, the control algorithm based on Youla parameterization does not depend on the accurate model, and can directly adjust the internal model of the controller, which reduces the complexity of the adaptive controller and does not involve the redesign of the controller. Therefore, this paper proposes an adaptive disturbance rejection method combining characteristic disturbance frequency identification and Youla parameterized control. On the basis of the least mean square error criterion, this method uses the closed-loop system error to identify the characteristic disturbance frequency, so that to realize the online adjustment of the adaptive controller. Moreover, the identified filtering parameters and controller adjustment are designed in parallel, thereby reducing the time consumption of adaptive disturbance suppression. At the same time, the frequency segmentation method is applied to combine the low-frequency disturbance and the filter suppression of high-frequency disturbance, so as to realize the adaptive suppression of the disturbance within the closed-loop bandwidth. The experimental results show that the method can quickly identify the characteristic disturbance and adjust the relevant parameters of the controller, and can improve the closed-loop performance of the system under single-frequency time-varying disturbance and multi-frequency disturbance.