改进神经网络在激光器参数优化中的应用
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摘要
参数直接影响激光器的性能,针对当前激光器参数优化方法存在的误差、速度慢等局限性,为了改善激光器的性能,提出了改进神经网络的激光器参数优化方法。首先对当前激光器参优化的研究现状进行分析,并找到当前激光器参数优化方法存在一些不足,然后对激光器参数优化原理进行分析,并通过实验采集大量激光器相关参数,最后采用改进神经网络建立激光器参数与激光器性能指标之间的关系模型,并通过具体实验测试的有效性和优越性。测试结果表明,神经网络可以找到激光器参数与激光器性能之间的联系,有效提高了激光器参数优化的精度,实验结果可以指导激光器参数选择和优化,有助于指导激光器的设计,具有较好的实际应用价值。
In order to improve the performance of the laser,the parameter optimization model of the laser is proposed. Based on the current research status of laser parameter optimization analysis,find some shortcomings of the laser parameter optimization model,then analyze the laser parameters optimization principle,and collect a large number of experimental laser parameters. Finally using neural network to build a relationship model between the parameters of the laser and the laser performance index,and find the effectiveness and advantage through the specific test. The test results show that the neural network can find the relationship between the laser and the laser parameters,it can effectively improve the accuracy of laser parameter optimization. The experimental results can help to design index of laser,and has better practical value.
In order to improve the performance of the laser,the parameter optimization model of the laser is proposed. Based on the current research status of laser parameter optimization analysis,find some shortcomings of the laser parameter optimization model,then analyze the laser parameters optimization principle,and collect a large number of experimental laser parameters. Finally using neural network to build a relationship model between the parameters of the laser and the laser performance index,and find the effectiveness and advantage through the specific test. The test results show that the neural network can find the relationship between the laser and the laser parameters,it can effectively improve the accuracy of laser parameter optimization. The experimental results can help to design index of laser,and has better practical value.
引文
[1]马养武,陈钰清.激光器件[M].杭州:浙江大学出版社,1994:9-39.
[2]邵怀宗,吕百达,翟群.二极管端泵连续激光器激活介质长度与透过率的优化[J].激光技术,1998,23(4):203-206.
[3]李富岭,杨柏龄,庄琦.射流式单重态氧发生器结构参数最优化的理论分析[J].量子电子学报,1999,16(2):142-146.
[4]杨明伟,许文梅,顾慧萍.融入FPGA技术的半导体激光器功率-电流-电压测试系统[J].光电子·激光,2005,16(3):344-348.
[5]张运春,肖文,尹小素,等.基于单片机的半导体激光器应用控制技术[J].红外与激光工程,2006,35(10):198-202.
[6]程成,何赛灵.百瓦级铜蒸气激光器最大功率的全局优化设计[J].光学学报,2001,21(3):278-282.
[7]赵伟力,房本杰,李君,等.拉曼散射光谱在氧碘化学激光器参数测试上的应用J].光散射学报,2005,16(4):295-298.
[8]王国富,欧阳缮,刘庆华,等.激光器参数综合检测系统设计[J].应用光学,2009,30(2):330-334.
[9]徐志君,程成.遗传算法在激光器谐振腔优化设计中的应用[J].光子学报,2003,32(12):1413-1417.
[10]Cheng C,He S L.Optical design for a copper laser system with a maximum power by using a genetic algorithm[J].Optical and Quant.Electron.,2001,33(1):83-85.
[11]范贤光,孙和义,唐文彦,等.连续半导体激光器LIV特性测试系统的设计[J].激光与红外,2007,37(2):166-169.
[12]Cheng C,Zhuang F.Plasma kinetics mechanisms of an optimized copper vapor laser[J].J.Phys.D:Appl.Phys.,2000,33(10):339-341.
[13]郑加安,赵圣之,张行愚,等.LD纵向泵浦固体激光器参数优化[J].光电子·激光,2000,11(5):476-480.
[14]项勤建,刘爽,龙再川.一种半导体激光器参数测试系统的设计[J].半导体光电,2009,30(3):374-377.
[15]李林峰,陶少宏,王保松,江海河.被动调Q固体激光器参数计算及优化设计[J].量子电子学报,2008,25(5):559-562.
[16]肖光宗,龙兴武,张斌,等.基于人工神经网络和遗传算法的激光器参数全局优化方法[J].中国激光,2010,37(5):1203-1207.
[2]邵怀宗,吕百达,翟群.二极管端泵连续激光器激活介质长度与透过率的优化[J].激光技术,1998,23(4):203-206.
[3]李富岭,杨柏龄,庄琦.射流式单重态氧发生器结构参数最优化的理论分析[J].量子电子学报,1999,16(2):142-146.
[4]杨明伟,许文梅,顾慧萍.融入FPGA技术的半导体激光器功率-电流-电压测试系统[J].光电子·激光,2005,16(3):344-348.
[5]张运春,肖文,尹小素,等.基于单片机的半导体激光器应用控制技术[J].红外与激光工程,2006,35(10):198-202.
[6]程成,何赛灵.百瓦级铜蒸气激光器最大功率的全局优化设计[J].光学学报,2001,21(3):278-282.
[7]赵伟力,房本杰,李君,等.拉曼散射光谱在氧碘化学激光器参数测试上的应用J].光散射学报,2005,16(4):295-298.
[8]王国富,欧阳缮,刘庆华,等.激光器参数综合检测系统设计[J].应用光学,2009,30(2):330-334.
[9]徐志君,程成.遗传算法在激光器谐振腔优化设计中的应用[J].光子学报,2003,32(12):1413-1417.
[10]Cheng C,He S L.Optical design for a copper laser system with a maximum power by using a genetic algorithm[J].Optical and Quant.Electron.,2001,33(1):83-85.
[11]范贤光,孙和义,唐文彦,等.连续半导体激光器LIV特性测试系统的设计[J].激光与红外,2007,37(2):166-169.
[12]Cheng C,Zhuang F.Plasma kinetics mechanisms of an optimized copper vapor laser[J].J.Phys.D:Appl.Phys.,2000,33(10):339-341.
[13]郑加安,赵圣之,张行愚,等.LD纵向泵浦固体激光器参数优化[J].光电子·激光,2000,11(5):476-480.
[14]项勤建,刘爽,龙再川.一种半导体激光器参数测试系统的设计[J].半导体光电,2009,30(3):374-377.
[15]李林峰,陶少宏,王保松,江海河.被动调Q固体激光器参数计算及优化设计[J].量子电子学报,2008,25(5):559-562.
[16]肖光宗,龙兴武,张斌,等.基于人工神经网络和遗传算法的激光器参数全局优化方法[J].中国激光,2010,37(5):1203-1207.