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Optical Engineering

Fiber optic active alignment method based on a pattern search algorithm
Author(s): Jing Chun; Yulie Wu; Yi-Fan Dai; Shengyi Li
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Paper Abstract

Automation of fiber optic alignment is critical to reduce the cost of fiber optic devices packaging and ensure the quality of the products. The conventional fiber optic alignment method based on a hill-climbing algorithm is usually time consuming and it often fails to search the optimal alignment position. The reason is that the hill-climbing algorithm is a 1-D method, while multiple degrees of freedom (DOF) adjustments are needed in fiber optic alignment processes. The hill-climbing algorithm will be subject to noise because of intercoupling among axes. Thus, application of the pattern search algorithm in fiber optic alignment automation is developed in this work. The pattern search algorithm can adjust misalignments on multiple axial directions simultaneously. The intercoupling problem can be solved, and then the potential risk of missing the real peak can be avoided. Comparison of the simulation and experimental results between the pattern search and the hill-climbing algorithm is presented. Simulation results indicate that the pattern search algorithm converges nine times faster than the hill-climbing algorithm; it converges to the maximum coupling efficiency within eight iterations for the five degrees of freedom alignment between the laser diode and the single mode fiber. The experimental results demonstrate that the average time for locating the optimal coupling position in the x-y plane using the pattern search algorithm is reduced compared to the conventional hill-climbing algorithm; and the global convergence of the pattern search algorithm is much better than that of the hill-climbing algorithm.

Paper Details

Date Published: 1 April 2006
PDF: 6 pages
Opt. Eng. 45(4) 045005 doi: 10.1117/1.2192497
Published in: Optical Engineering Volume 45, Issue 4
Show Author Affiliations
Jing Chun, National Univ. of Defense Technology (China)
Yulie Wu, National Univ. of Defense Technology (China)
Yi-Fan Dai, National Univ. of Defense Technology (China)
Shengyi Li, National Univ. of Defense Technology (China)

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