光学 精密工程, 2014, 22 (8): 2007, 网络出版: 2014-09-15   

基于光强自标定移相算法检测光学面形

Measurement of optical surface based on intensity self-calibration phase-shift algorithm
作者单位
1 中国科学院 长春光学精密机械与物理研究所 应用光学国家重点实验室,吉林 长春 130033
2 中国科学院大学,北京 100049
摘要
考虑菲佐型波长移相干涉仪中波长可调谐激光器光强与调节电压之间的关系会对相位计算精度造成影响,本文提出了一种基于光强自标定的波长移相算法。首先,分析了波长可调谐激光器调节电压与输出光强之间的关系,建立了数学模型;然后,依据最小二乘判据,推导出了波长移相干涉仪的光强自标定移相算法。最后,实施了仿真实验,通过计算机生成背景光强具有一定变化的12幅干涉图,利用所提出的算法进行了相位恢复。结果表明,提出的算法可以很好地免疫激光器的光强变化,实现高精度的相位恢复。对口径为100 mm的平面镜的测量结果显示RMS为0.005λ,PV为0.073λ。与ZYGO干涉仪测量结果的比较显示,两次测量面形的偏差RMS为0.0014λ,PV为0.022λ。得到的结果证明了算法的可行性及在菲佐型波长移相干涉仪中的实用性。
Abstract
As the relationship between output intensity and modulation voltage of a modulation laser in Fizeau interferometer will effect the accuracy of phase calculation, this paper proposes an intensity self-calibration phase-shifting algorithm. Firstly, the relationship between output intensity and modulation voltage of the modulation laser was analyzed, and a mathematical model was established. Then, on the basis of least square estimation, the intensity self-calibration phase-shifting algorithm was deduced. Finally, a simulation experiment was performed. The 12 interferograms with changed backgrounds were generated by computers, and their phases were retrieved. The experiment indicates that the algorithm immunes the intensity change well, and retrieves the phase accurately. The measuring results for a flat mirror with a caliber of 100 mm show that the calculated phase precision is RMS of 0.005λ, and PV of 0.073λ. As a comparison with a ZYGO interferometer for the same flat mirror, the deviations are RMS of 0.0014λ, and PV of 0.022λ. Both simulation and experiment results show that the proposed intensity self-calibration phase-shifting algorithm is feasible and practical in the Fizeau interferometer with wavelength tunning.

刘江, 苗二龙, 曲艺, 隋永新, 杨怀江. 基于光强自标定移相算法检测光学面形[J]. 光学 精密工程, 2014, 22(8): 2007. LIU Jiang, MIAO Er-long, QU Yi, SUI Yong-xin, YANG Huai-jiang. Measurement of optical surface based on intensity self-calibration phase-shift algorithm[J]. Optics and Precision Engineering, 2014, 22(8): 2007.

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