掺镱双包层光纤放大器分布泵浦方式下的优化算法

Novel optimized arithmetic for distributed pumped ytterbium-doped double-clad fiber amplifier

利用平均反转率迭代算法计算掺镱双包层光纤放大器分布泵浦方式下的稳态速率方程组,并采用遗传算法对分布泵浦功率的大小和每段光纤长度同时进行优化。评估函数中引入了每段光纤中最高温度的标准方差,以确保每段光纤中的最高工作温度是相同的。通过优化,7段泵浦的最高温度和标准方差分别为126.34℃和1.95℃,8段泵浦条件下的最高温度和标准方差分别为119.76℃和2.12℃。而未经优化的7段泵浦的最高温度和标准方差分别为147.12℃和21.37℃,8段泵浦条件下的最高温度和标准方差分别为139.95℃和20.83℃。计算结果表明:泵浦方式的优化降低了最高温度和标准方差,实现了光纤中温度分布的均匀性,并且通过增加泵浦段数可以进一步降低最高温度和平坦温度分布。

The time independent rate equations for fiber amplifier were solved by average inversion ratio iteration method. In ＂this paper, a novel arithmetic based on genetic algorithm was proposed ＂to optimize ＂the distributed pump powers and ＂the lengths of fiber segments in kilowatt YDDC fiber amplifier. The standard deviation of maximum temperatures in fiber segments was incorporated into evaluation function. This ensured that the maximum temperature in each fiber segment was identical. Based on the genetic algorithm method, the maximum temperature and standard deviation of maximum temperatures in seven-segment scheme were 126.34 ℃ and 1.95 ℃ ,compared to 147.12 ℃ and 21.37 ℃ without the optimization process. To eight-segment scheme, the optimized results were 119.76℃ and 2.12 ℃. The calculated results show that the uniformity of temperature is improved by using the optimized method. Additionally, lower operating temperature and better uniformity can be obtained through increasing the number of segments.