Real-time planning method for optimal position of movable guide star of adaptive optical system

An adaptive optics, optimal position technology, applied in ICT adaptation, control/regulation systems, two-dimensional position/channel control, etc., and can solve problems such as different disturbances

Active Publication Date: 2020-01-17
TAIYUAN UNIV OF TECH
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AI Technical Summary

Problems solved by technology

However, atmospheric turbulence is extremely non-isohalotic, and t

Method used

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Examples

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Embodiment Construction

[0017] In this example, we will use the turbulence data obtained under the Paranal Observatory in Chile to describe in detail the movable positions of the five laser guide stars in GLAO (Ground Layer Adaptive Optics). This embodiment includes the following steps:

[0018] Step 1: Preprocess the massive real turbulence profile data obtained first, and equate the turbulence data to different layers. Specifically, according to the characteristics of the measuring instrument, every height of 150 meters is equivalent to a thin phase screen, and it can be equivalent to a maximum of 100 layers according to the maximum measurement height. After that, standardize the turbulent flow data from 0 to 1: first take the logarithm log10 of the turbulent flow intensity data, in order to prevent the calculation overflow caused by the zero-filled data, you can add 1 to all the turbulent flow data and then perform the logarithmic operation , and finally normalize the result after the above opera...

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Abstract

The invention relates to the field of optimal position planning of movable guide stars, and provides a real-time planning method for an optimal position of a movable guide star of an adaptive opticalsystem. The method comprises the steps that: on the basis of sufficient actual measurement atmospheric turbulence profile data accumulation, profile statistical distribution characteristics are obtained through clustering analysis; on the basis of analyzing statistical distribution characteristics, the positions of the guide stars corresponding to different types of profiles are obtained by utilizing a Monte Carlo simulation and optimization algorithm, and the mapping relationship between different turbulence profiles and the optimized positions of the movable guide stars is further obtained through adoption of a machine learning method. The optimal position of the corresponding movable guide star can be quickly calculated according to the actually measured turbulence data in practical application.

Description

technical field [0001] The invention relates to the field of optimal position planning of a movable guide star. Background technique [0002] During the observation of space objects, the propagation of light waves is randomly disturbed by atmospheric turbulence that changes with time, which degrades the image quality of images observed by ground-based telescopes. Adaptive optics technology can improve the imaging quality of telescopes by measuring and correcting disturbances caused by atmospheric turbulence in real time. However, the atmospheric turbulence is extremely non-isohalotic, and the disturbances received by the closer targets are generally different. For this reason, modern adaptive optics systems mostly use multiple guide stars to sample the turbulent flow within a certain field of view. However, since the atmospheric turbulence is constantly changing with time, its profile with different heights will also change with time, so the optimal position pair of the gu...

Claims

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Application Information

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IPC IPC(8): G05D1/02
CPCG05D1/0246G05D1/0221G05D1/0276Y02A90/10
Inventor 贾鹏李彩风
Owner TAIYUAN UNIV OF TECH
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