基于优化解调算法的光纤传感器交叉敏感问题研究

Research on cross sensitivity of optical fiber sensor based on optimized demodulation algorithm

光纤传感器固有的交叉敏感问题一直是光纤传感技术应用中亟需解决的问题。提出了一种多目标粒子群优化(MPSO)解调算法,分别讨论了2个光纤布喇格光栅(FBG)中心波长在相同与不同的传感系统中的解调情况,以及不同反射率对解调结果的影响。该算法不仅具备较高检测精度(温度测量精度为0.1℃,应变精度为0.5με),而且系统结构简单、易于实现,对FBG的材料、结构、中心波长及反射率无严格限制。

The inherent cross sensitivity of optical fiber sensor is always an urgent problem to be solved in the application of optical fiber sensing technology.A multi-objective particle swarm optimization(MPSO)demodulation algorithm is proposed.The demodulation of two fiber Bragg grating(FBG)central wavelengths in the same and different sensing systems is discussed respectively,and the influence of different reflectivity on the demodulation results is also discussed.This method not only has high detection accuracy,the temperature measurement accuracy is 0.1℃,the strain accuracy is 0.5με,but also the system structure is simple and easy to realize,which has no strict restrictions on the material,structure,central wavelength and reflectivity of FBG.