显微视觉结合光功率检测的光纤耦合方法

分析了光功率损耗的理论模型,指出横向偏移、光纤角度和端面间隙是影响对接损耗的主要参数,由此提出了显微视觉结合光功率检测的光纤耦合方法。在显微视觉系统引导下,采用精密并联机器人消除光纤角度及端面间隙的影响,并实现横向偏移的粗调整;利用压电陶瓷驱动的五自由度微动机器人精确调整横向偏移,通过设计合理策略,实现损耗极值区域的快速精确搜索。光纤耦合实验表明,粗调整后平均损耗0.3db;微动调整并熔接后,对接损耗减小到0.02db以下。

Fiber alignment based on micro-vision and optical power detection

Based on the analysis of power loss model, it is pointed out that the power loss is contributed mainly by the parameters including transversal error, terminal and angular errors. A new fiber alignment method based on integration of micro-vision and optical power detection is presented. The coarse adjustment is implemented through precision parallel robot and the precision transversal error is adjusted by a 5 DOFs precision robot actuated by PZT. Precise and fast search of the extremum region of power loss can be realized through an optimal design strategy. Experiments show that after coarse adjustment, the average coupling power loss is 0.3db, and it is less than 0.02db after precision adjustment and fusion.