Aberration correction based on wavefront sensorless adaptive optics in membrane diffractive optical telescope

Zhu, Licheng; Wen, Liping; Guo, Zhenghua; Yang, Wei; Xu, Bing; Guan, Chunlin

doi:10.1016/j.optcom.2019.06.063

Cited by 6 publications

(3 citation statements)

References 14 publications

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“…Various new AO systems have come out one after another, such as laser guide star AO systems, multi-layer conjugate AO systems, extreme AO systems, and nearsurface AO systems [2]. Reference [92] applied WFSless AO technology to thin-film diffraction telescopes. The experimental results show that WFSless AO can effectively improve the imaging quality of thin-film diffraction telescopes and is especially suitable for eliminating disturbances caused by disturbances during system assembly and operation.…”

Section: Astronomical Observationsmentioning

confidence: 99%

Optimized Approach for Image Design Processing in Optical Networks: A Comparative Study

Hu,

Yang

2023

Applied Mathematics and Nonlinear Sciences

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Deep space detection and remote sensing both require optical imaging devices. The optical imaging system often needs a bigger aperture mirror to attain high spatial resolution. As a result, several novel optical imaging systems, such as big segmented mirror telescopes, large aperture membrane diffractive optical telescopes, and others, have been researched in recent years. Real-time wavefront measurement is not required for the wavefront sensorless (WFSless) applied optics (AO) approach. The wavefront corrector is directly regulated via feedback following an image quality measure of the far-field image to correct for wavefront aberration. Integrating artificial neural networks (ANN) and deep learning plays a vital role in developing WFSless AO systems. This paper evaluated various important aspects to provide an in-depth review of the state-of-the-art machine learning-based algorithms deployed in WFSless AO systems. Finally, the applications and prospects were outlined.

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Section: Astronomical Observationsmentioning

confidence: 99%

Optimized Approach for Image Design Processing in Optical Networks: A Comparative Study

Hu,

Yang

2023

Applied Mathematics and Nonlinear Sciences

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“…A thin-film diffraction imaging system is a type of space telescope imaging system that uses a diffractive lens as the main mirror. Compared with traditional reflective telescopes, this system has high resolution and loose surface tolerance, which can improve the anti-interference ability of the optical system, and is used widely in various fields, including ground observation and military reconnaissance (Liu et al, 2018;He et al, 2020;Zhu et al, 2019). However, because this system is a large and flexible multi-body structure with a low natural frequency, the interference torque from inside and outside the satellite will induce an on-orbit vibration that has a serious effect on the attitude stability (Chen et al, 2021a, b).…”

Section: Introductionmentioning

confidence: 99%

Structure optimization design of a thin-film diffraction imaging system based on the Kriging model and the improved particle swarm optimization algorithm

et al. 2021

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Abstract. A thin-film diffraction imaging system is a type of space telescope imaging system with high resolution and loose surface tolerance often used in various fields, such as ground observation and military reconnaissance. However, because this system is a large and flexible multi-body structure, it can produce flexural vibration easily during the orbit operation, which has a serious effect on the attitude stability of the system and results in low pointing accuracy. Therefore, this study proposes an optimization method based on the Kriging model and the improved particle swarm optimization algorithm to improve the stability and optimize the structure of the entire system. Results showed the area–mass ratio of the thin-film diffraction imaging system decreased by 9.874 %, the first-order natural frequency increased by 23.789 %, and the attitude stability of the thin-film diffraction imaging system improved.

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“…Because optical mirror processing is a type of special precision machining, its accuracy is easily affected by human behavior, the inherent characteristics of the mechanism, and changes in environmental parameters. 6,7 In addition, there is a coupling relationship between the influencing factors of the HME, which further reduces the accuracy and efficiency of the OMPS. Therefore, it is particularly important for large OMPSs to effectively integrate the HME disturbance information and design corresponding control compensation strategies to improve processing accuracy and efficiency.…”

Section: Introductionmentioning

confidence: 99%

Human-machine-environment information fusion and control compensation strategy for large optical mirror processing system

Jin

Chen

Guo

2020

Proceedings of the Institution of Mechanical Engineers, Part C:

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Large optical mirrors require an ultra-precise machining equipment, and a high level of surface-forming precision must be achieved. However, optical mirror processing systems (OMPSs) are susceptible to human behaviors, mechanical structural errors, and processing environments. The factors that affect quality include artificially formulated processes, slurry choice, joint friction, force-induced deformation, ambient temperature, and vibration interference. These factors can lead to a decrease in the accuracy of an OMPS. To study the influence of disturbances in the human-machine-environment (HME) on the OMPS, it is necessary to conduct a fusion analysis of the related factors. A parameter analysis is first conducted on the HME factors that influence the accuracy of OMPS. Then, the factors that influence the accuracy most significantly are determined. Subsequently, with the influencing factors as input parameters, and the output forces of the computer-controlled optical surface (CCOS) grinding system as the output parameters, the HME influencing factors are fused through a BP neural network optimized using a genetic algorithm, and the result is compared with that resulting from the original BP neural network fusion. Finally, according to the results of the fusion, environmental control of the processing system is performed, and the feedforward PD control compensation measures are established for the joint friction. An experimental analysis is also conducted to verify the effect of the information fusion and error compensation on the accuracy of the OMPS.

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Aberration correction based on wavefront sensorless adaptive optics in membrane diffractive optical telescope

Cited by 6 publications

References 14 publications

Optimized Approach for Image Design Processing in Optical Networks: A Comparative Study

Optimized Approach for Image Design Processing in Optical Networks: A Comparative Study

Structure optimization design of a thin-film diffraction imaging system based on the Kriging model and the improved particle swarm optimization algorithm

Human-machine-environment information fusion and control compensation strategy for large optical mirror processing system

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