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A primary and secondary mirror calibration method based on neural network algorithm

A neural network algorithm and calibration method technology, applied in the field of primary and secondary mirror adjustment of off-axis reflective systems, can solve the problems of low universality and the robustness of the calibration model to be demonstrated, and achieve wide applicability and repeatability High usability and the effect of improving the efficiency of installation and adjustment

Active Publication Date: 2022-07-19
INST OF OPTICS & ELECTRONICS - CHINESE ACAD OF SCI
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Problems solved by technology

It can be used not only to assist the design of decentered tilted optical systems, but also to analyze misaligned optical systems, but its universality is low, and the robustness of the correction model needs to be demonstrated

Method used

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  • A primary and secondary mirror calibration method based on neural network algorithm
  • A primary and secondary mirror calibration method based on neural network algorithm
  • A primary and secondary mirror calibration method based on neural network algorithm

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Embodiment Construction

[0040] The solution of the present invention will be further described below in conjunction with the accompanying drawings and specific implementation steps.

[0041] like figure 1 As shown in the flow chart on the right in the middle, the primary and secondary mirror calibration method based on neural network algorithm includes the following steps:

[0042] Step 1 Model establishment:

[0043] Firstly, input the structural parameters of the off-axis optical system to be measured in the optical simulation software, and establish the optical model;

[0044] Step 2 Acquisition of training samples:

[0045] First record the first 37 Zernike coefficients Z without adding any alignment errors 0 ,As follows:

[0046]

[0047] where θ 1 , θ 2 , θ 3 Indicates the different field angles of the telescope system;

[0048] like figure 2 As shown, the offset of the two lenses mainly includes the off-axis error d on the X and Y axes r , the defocus error d in the Z-axis direct...

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Abstract

The invention discloses a primary and secondary mirror calibration method based on a neural network algorithm. First, the primary and secondary mirror misalignment models are established through simulation software, and then the corresponding Zernike polynomial coefficients are obtained by using the randomly added offsets; secondly, the offsets and the corresponding Zernike polynomial coefficients are combined into a data set, and the above steps are repeated to obtain enough data sets ; then use it as a training sample to train the neural network; finally, input the Zernike polynomial coefficients representing the system under test into the trained neural network, and then obtain the misalignment of the primary and secondary mirror lens alignment. The method of the invention is suitable for the calculation of the misalignment of various types of lens alignments, can effectively improve the adjustment efficiency of the optical lens of the telescope system, and is suitable for the real-time calibration of the primary and secondary mirrors.

Description

technical field [0001] The invention belongs to the field of primary and secondary mirror adjustment of an off-axis reflection system, in particular to a primary and secondary mirror calibration method based on a neural network algorithm. Background technique [0002] The off-axis reflective optical system has the advantages of no obstruction, large field of view, compact structure and no chromatic aberration, and has been widely used in the fields of 3D mapping, space remote sensing, astronomical observation and multispectral thermal imaging. At present, the calculation speed of the alignment error of the primary and secondary mirrors of the off-axis reflective system is not fast. Therefore, how to quickly and accurately obtain the misalignment of the primary and secondary mirrors of the off-axis reflective system is of great significance for real-time adjustment. [0003] The adjustment of the primary and secondary mirrors of the early telescope system mainly relied on man...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/16G06F30/27G06N3/04G06N3/06G06N3/08
CPCG06N3/061G06N3/08G06F17/16G06F30/20G06N3/045
Inventor 刘柱彭起任戈谭玉凤
Owner INST OF OPTICS & ELECTRONICS - CHINESE ACAD OF SCI
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