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Optimized Selection of Merit Function in Computer-Aided Alignment of Precision Optical System

机译:精密光学系统计算机辅助对准中功函数的优化选择

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摘要

The proper application of computer-aided alignment technology can overcome blindness in the alignment process of precision optical system, and reduce the alignment cycle. In which, reasonable merit function of the system's imaging quality is the primary precondition of successful reverse-solving of misalignment. In this paper, firstly, the relation between misalignment and system wavefront aberration is established through mathematic modeling, and by detailed analysis of the relation between Zernike coefficients, geometric aberration and system imaging quality, the merit function of imaging quality based on weighted Zernike coefficients is proposed so as to avoid the numerical instability and inaccuracy of solution caused by direct adoption of Zernike coefficients. Finally, alignment experiment of one infrared optical system is carried out based on the merit function established, and the result shows that, using the same reverse-solving algorithm, compared with direct adoption of Zernike coefficients, weighted Zernike coefficients adopted as the merit function can improve the imaging quality RMS as much as 17%.
机译:适当应用计算机辅助对准技术可以克服精密光学系统对准过程中的盲目性,减少对准周期。其中,对系统成像质量的合理评价功能是成功逆向解决对准误差的主要前提。本文首先通过数学建模建立失准与系统波前像差之间的关系,并通过详细分析Zernike系数,几何像差与系统成像质量之间的关系,得出基于加权Zernike系数的成像质量的优值函数。为了避免由于直接采用Zernike系数而引起的数值不稳定和解的不准确性。最后,基于建立的优值函数对一个红外光学系统进行对准实验,结果表明,使用相同的逆求解算法,与直接采用Zernike系数相比,加权Zernike系数可以作为优点函数。提高成像质量RMS高达17%。

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