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Coherent beam combination of fiber lasers based on stochastic parallel gradient descent algorithm

机译:基于随机平行梯度下降算法的光纤激光器相干光束组合

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Coherent beam combination of fiber laser arrays plays an important role in realizing high power, high radiance fiber laser systems. The stochastic parallel gradient descent (SPGD) algorithm is a newly developed optimization method using the technique of parallel perturbation and stochastic approximation and it is expected that this algorithm can reduce the cost and complexity of a high power fiber laser system when incorporated in its beam combination scheme. In this paper, a numerical simulation model about the fiber laser beam combination system is then established based on beam-quality-metric optimization method. The SPGD algorithm is introduced and used to realize the beam-quality-metric maximization, leading to the maximum output power of the fiber laser system. The results of numerical simulation indicate that the far-field beam intensity optimization method using SPGD algorithm can realize coherent beam combination of fiber laser arrays effectively.
机译:光纤激光器阵列的相干光束组合在实现高功率高光纤激光系统方面发挥着重要作用。随机平行梯度下降(SPGD)算法是一种新开发的使用平行扰动和随机近似技术的优化方法,并且预期该算法可以在其光束组合中结合时降低高功率光纤激光系统的成本和复杂性方案。本文基于光束质量度量优化方法建立了关于光纤激光束组合系统的数值模拟模型。 SPGD算法介绍并用于实现光束质量度最大化,导致光纤激光系统的最大输出功率。数值模拟结果表明,使用SPGD算法的远场光束强度优化方法可以有效地实现光纤激光器阵列的相干光束组合。

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