基于遗传算法的自调谐自脉冲光纤激光器双折射滤波控制
Genetic algorithm-based control of birefringent filtering for self-tuning, self-pulsing fiber lasers
摘要：
众所周知，光纤激光器中的基于偏振的滤波能够实现光谱可调谐性和宽范围的动态操作状态。然而，这种效应在实际系统中很少被利用，因为腔参数的优化是不平凡的，并且由于环境敏感性而演变。在这里，我们报告了一种基于遗传算法的方法，利用电子控制的腔传递函数，自主实现宽波长调谐和Q开关脉冲的产生与可变的重复率和持续时间。讨论了从简单光纤激光器同时进行光谱和时间自调谐的实用性和局限性，为通过算法控制和机器学习方案实现按需激光特性铺平了道路。
英文摘要：
Polarization-based filtering in fiber lasers is well-known to enable spectral tunability and a wide range of dynamical operating states. This effect is rarely exploited in practical systems, however, because optimization of cavity parameters is non-trivial and evolves due to environmental sensitivity. Here, we report a genetic algorithm-based approach, utilizing electronic control of the cavity transfer function, to autonomously achieve broad wavelength tuning and the generation of Q-switched pulses with variable repetition rate and duration. The practicalities and limitations of simultaneous spectral and temporal self-tuning from a simple fiber laser are discussed, paving the way to on-demand laser properties through algorithmic control and machine learning schemes.
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