Application of machine learning in the alignment of off-Axis optical system
Yu, Lei; Ma, Caiwen; Fu, Xing; Yin, Yamei; Cao, Mingqiang
2021
会议日期2021-06-20
会议地点Beijing, China
关键词Off-axis Optical System Alignment Machine Learning Neural Network
卷号12069
DOI10.1117/12.2606474
英文摘要Coaxial optical system has a symmetry of revolution. Alignment for this kind of optical system is easy. The desired image quality can be rapidly converged. As for off-Axis optical system, traditional optical alignment method can not be used due to the loss of rotational symmetry. Low initial position accuracy makes installation and adjustment more difficult than usual. In this paper, we aim to solve the alignment problem for off-Axis optical system with the help of machine learning and its powerful numerical fitting ability. We carried out our research on alignment method for an Gregorian off-Axis system. The location of primary mirror is fixed as the optical reference. Alignment process is to adjust posture of secondary mirror to acquire ideal image quality. We use Zemax and Python co-simulation technology to get simulated data. Then multi-layer artificial neural network is utilized to fit the mathematical relationship between misalignments and Zernike coefficients. Given the coefficients, the misalignments can be calculated by the neural network. Finally we conduct alignment experiment to verify the proposed method. The result has proved that this method is a fast and efficient alignment solution for the off-Axis optical systems. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.
产权排序1
会议录AOPC 2021: Novel Technologies and Instruments for Astronomical Multi-Band Observations
会议录出版者SPIE
语种英语
ISSN号9781510650138
内容类型会议论文
源URL[http://ir.opt.ac.cn/handle/181661/95665]  
专题西安光学精密机械研究所_光电测量技术实验室
作者单位Xi'an Institute of Optics and Precision Mechanics, Cas, NO.17 Xinxi Road, Xi'an Hi-Tech Industrial Development Zone, Xi'an; Shaanxi; 710119, China
推荐引用方式
GB/T 7714
Yu, Lei,Ma, Caiwen,Fu, Xing,et al. Application of machine learning in the alignment of off-Axis optical system[C]. 见:. Beijing, China. 2021-06-20.
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