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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校准中优化函数的优化功能

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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:计算机辅助对准技术的适当应用可以克服精密光学系统的对准过程中的盲目,并减少对准循环。其中,系统成像质量的合理优势函数是成功逆向解体的主要前提。在本文中,首先,通过数学建模建立了未对准和系统波前像差之间的关系,并通过对Zernike系数,几何像差和系统成像质量之间的关系进行详细分析,基于加权Zernike系数的成像质量的优异功能提出以避免通过直接采用Zernike系数而引起的解决方案的数值不稳定性和不准确性。最后,基于建立的优异函数来执行一个红外光学系统的对准实验,结果表明,使用相同的逆向溶解算法,与直接采用Zernike系数相比,作为优点函数的加权Zernike系数可以提高成像质量RMS多达17 %。

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