光学学报, 2017, 37 (1): 0122002, 网络出版: 2017-01-13
基于混合粒子群优化算法的ZnO镀膜光纤传感器的相位偏移
Phase Shift of Optical Fiber Sensor Coated with ZnO Based on Hybrid Particle Swarm Optimization Algorithm
光学设计 光纤传感器 相位偏移 混合粒子群优化算法 optical design optical fiber sensor phase shift hybrid particle swarm optimization algorithm
摘要
建立了氧化锌镀膜光纤传感器中传输光相位偏移的优化模型, 采用混合粒子群优化算法对该模型进行优化。仿真结果表明, 利用该算法可得到传输光相位偏移量的优化值。分析了光纤传感器相关参数对传输光相位偏移的影响; 比较了优化后相位偏移的理论值与实验值, 发现二者基本一致。
Abstract
An optimization model for phase shift of transmission light in optical fiber sensor coated with ZnO is established, and the model is optimized by the hybrid particle swarm optimization algorithm. Simulation results show that the optimal value of phase shift of transmission light is obtained by the algorithm. The effect of relevant parameters of the optical fiber sensor on phase shift of transmission light is analyzed. The theoretical value and the experimental value of phase shift are compared, and they are basically consistent.
刘奇, 周力, 周雅. 基于混合粒子群优化算法的ZnO镀膜光纤传感器的相位偏移[J]. 光学学报, 2017, 37(1): 0122002. Liu Qi, Zhou Li, Zhou Ya. Phase Shift of Optical Fiber Sensor Coated with ZnO Based on Hybrid Particle Swarm Optimization Algorithm[J]. Acta Optica Sinica, 2017, 37(1): 0122002.
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