光学学报, 2018, 38 (6): 0606002, 网络出版: 2018-07-09   

基于人工蜂群算法的多抽运拉曼光纤放大器优化设计 下载: 783次

Optimization Design of Multi-Pump Raman Fiber Amplifiers Based on Artificial Bee Colony Algorithm
作者单位
福州大学电气工程与自动化学院, 福建 福州 350116
摘要
针对多抽运拉曼光纤放大器的优化设计,将人工蜂群算法与平均功率法相结合,应用于拉曼光纤放大器反向抽运的优化配置。在满足给定的净增益条件下,以最小化拉曼增益波动为优化目标建立优化模型,运用平均功率法对拉曼散射方程进行求解,并采用人工蜂群算法获得抽运波长和抽运功率的最优配置。采用上述方法分别对C波段和C+L波段的拉曼光纤放大器进行设计,实验结果表明,在不同净增益设计条件下均能得到小于±0.4 dB的增益波动。相比现有方法,人工蜂群算法与平均功率法的结合具有较强的设计性能,能够得到更为平坦的优化结果,具有一定的实用价值。
Abstract
Aim

ing at the optimization design of Raman fiber amplifier with multiple backward pumps, we combine the artificial bee colony algorithm with the average power analysis to optimize the configuration of backward pump of Raman fiber amplifier. On the basis of the given gain, the optimized model is established in order to minimize the ripple of Raman gain. The average power analysis is utilized to solve Raman scattering equations, and the artificial bee colony algorithm is employed to find the optimal pump wavelength and pump power. The proposed method is used to design the Raman fiber amplifier at C band and C+L band. The results show that the gain ripple can be controlled below ±0.4 dB under different net gain levels. Compared with the existing methods, the combination of artificial bee colony algorithm and average power analysis has a good performance and can obtain the flatter optimization results, which has certain practical value.

陈静, 周清旭, 林雅婷, 江灏. 基于人工蜂群算法的多抽运拉曼光纤放大器优化设计[J]. 光学学报, 2018, 38(6): 0606002. Jing Chen, Qingxu Zhou, Yating Lin, Hao Jiang. Optimization Design of Multi-Pump Raman Fiber Amplifiers Based on Artificial Bee Colony Algorithm[J]. Acta Optica Sinica, 2018, 38(6): 0606002.

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