改进优化算法FBG传感网复用能力的研究

针对布拉格光栅在构成传感网络时会出现光谱重叠的问题,通过对模拟退火算法中退火因子的修改,以及在退火过程中给予合理的回温操作,改进了算法的计算效率和收敛性,并将改良后的退火算法与粒子群算法结合,可对光谱重叠中各个光栅的波长进行识别。通过对单个及多个光谱重叠的识别结果分析,验证了本算法对光谱重叠的区分具有可行性。实验结果表明:当三个光栅发生两个光谱重叠现象时,改进模拟退火的粒子群算法能够对其光栅进行识别和区分,并且能够将波长的辨识误差控制在±5 pm左右。

Study on the multiplexing capacity of FBG sensor network with improved optimization algorithm

Aiming at the problem of spectral overlap when the Bragg grating formed the sensor network,the computational efficiency and convergence of the algorithm are improved by modifying the annealing factor in the simulated annealing algorithm and giving a reasonable tempering operation during the annealing process.The improved annealing algorithm is combined with the particle swarm algorithm to identify the wavelengths of the gratings in the spectral overlap.By analyzing the recognition results of single and multiple spectral overlaps,the feasibility of the algorithm is verified to distinguish the spectral overlap.The experimental results show that the improved simulated annealing particle swarm optimization algorithm can identify and distinguish the gratings when the three gratings occur two spectral overlap,and the identification error of the wavelength is about ±5 pm.