摘要
反射系数是ZnO镀膜光纤传感器的设计和制作关键参数之一。电极厚度、工作频率和谐振腔长度等参数对反射系数影响较大,反射系数的优化对器件性能的改进,效率的提升有着重要作用。建立了氧化锌镀膜光纤传感器反射系数的优化模型,采用了一种混合粒子群优化算法对反射系数进行了优化。仿真得到了一系列器件参数优化数据,结果说明该方法较为有效;研究了反射系数与器件参数的内在作用机理;对器件的设计做了定性的分析,为器件的制作提供了理论参考。
Reflection coefficient is one of the key parameters in the design and fabrication of ZnO coated optical fiber sensor.The electrode thickness,working frequency and resonator length have great influence on the reflectance.The optimization of reflection coefficient plays an important role in improving device performance and efficiency.In this paper,an optimization model of the reflection coefficient of zinc oxide coated fiber optic sensor is established.The hybrid particle swarm optimization algorithm is used to optimize the reflection coefficient.A series of instrument parameter optimization data are obtained by simulation.The results show that the method is effective,The intrinsic mechanism of reflection coefficient and device parameters are studied.The design of the instrument is analyzed qualitatively,which provides a theory reference for instrument fabrication.
作者
刘奇
周力
LIU Qi;ZHOU Li(Department of Mathematics and Computer,Wuyi University,Wuyishan Fujian 354300,China;School of Information Engineering,Nanchang Hangkong University,Nanchang Jiangxi 330063,China)
出处
《激光杂志》
北大核心
2019年第9期43-47,共5页
Laser Journal
基金
福建省中青年教师教育科研项目(No.JT180557)
福建省教育厅科技项目(No.JA12322)
武夷学院青年基金(No.XQ201109)
关键词
光学器件设计
光纤传感器
反射系数
混合粒子群优化算法
参数优化
optical instruments design
optic fiber sensor
reflection coefficient
hybrid particle swarm optimization algorithm
parameter optimization
