In this paper, we investigate a novel improved Particle Swarm Optimization (IPSO) algorithm to enhance the coupling precision between a laser diode and a single-mode fiber. It mainly relies on the nonlinear adjustment of inertia weight. Several variations of PSO are used as references. The simulated and experimental results show that the proposed strategy has an excellent search success rate with few iterations in multi-degree of freedom alignment. This is largely due to the improvement of exploration via the adjustment of inertia weight. These results confirm that the improved PSO algorithm can be applied reliably to improve both the efficiency and accuracy in laser-fiber coupling.

在本文中，我们研究了一种新颖的改进的粒子群优化（IPSO）算法，以提高激光二极管和单模光纤之间的耦合精度。它主要依靠惯性权重的非线性调节。PSO的几种变体用作参考。仿真和实验结果表明，所提出的策略具有良好的搜索成功率，并且在多自由度对准中迭代次数很少。这主要是由于通过调整惯性权重改善了勘探工作。这些结果证实了改进的PSO算法可以可靠地应用于提高激光-光纤耦合的效率和准确性。