光谱学与光谱分析, 2017, 37 (9): 2838, 网络出版: 2017-10-16  

基于反射光谱特征辨识的光纤气压与温度集成监测方法

The Integrated Monitoring Method of Optical Fiber Gas Pressure and Temperature Based on Reflection Spectrum Characteristic Identification
作者单位
1 南京航空航天大学机械结构力学及控制国家重点实验室, 江苏 南京 210016
2 中航工业金城南京机电液压工程研究中心航空机电系统综合航空科技重点实验室, 江苏 南京 211106
3 Université de Toulouse, Institut Clément Ader UMR CNRS 5312, INSA/UPS/ISAE/Mines Albi, France
4 杭州聚华光电科技有限公司, 浙江 杭州 310053
摘要
针对飞行器机载环境多参量综合测试需求, 研究了一种基于反射光谱特征辨识的光纤布拉格光栅(FBG)气压与温度集成监测方法, 给出了基于膜片式结构的双参量传感机理及其理论模型。 采用基于耦合模理论的OptiGrating软件, 得到不同气压与温度条件下光纤布拉格光栅传感器仿真反射光谱。 在此基础上, 借助弹塑性和恢复性能优良的平膜片感压机构, 构建了膜片式双光纤气压/温度集成监测模型。 研究表明, 恒温条件下应变传感光纤光栅反射光谱随气压增加而逐渐向短波方向偏移, 其中心波长灵敏度约为0.803 0 nm·MPa-1, 且反射谱主峰及其旁瓣峰值均随气压变化呈现良好线性关系; 当气压恒定而温度变化时, 处于仅感温不受力状态的温度传感光纤光栅反射光谱中心波长灵敏度约为9.39 pm·℃-1; 当气压与温度交叉变化时, 能够实现对变温条件下的微小气压变化实时监测。 传感光纤光栅受非均匀应变效应反射光谱存在一定啁啾现象, 其反射光谱旁瓣峰值波长随环境温度、 气压变化均会发生偏移, 具有良好线性关系, 且在不同气压下反射光谱对应的同一阶数旁瓣峰值幅度相等。 该研究能够为航空航天器系统多物理参量在线综合测试提供有益帮助。
Abstract
Aiming at aircraft airborne environment multi-parameter comprehensive testing requirements, by analyzing the theories and experimental results, a kind of fiber Bragg grating (FBG) gas pressure and temperature integrated monitoring method based on spectral reflectance characteristics identification is studied, and the dual parameter sensing mechanism as well as its theoretical model based on the diaphragm structure are also studied in this paper. OptiGrating software based on the coupled mode theory was used to simulate the reflection spectrum of the fiber Bragg grating sensor under different pressure and temperature conditions. Therefore, the characteristics of fiber Bragg grating sensor under different pressure and temperature conditions in simulate environment appeared. On this basis, with the aid of the flat diaphragm pressure sensitive structure enjoying a excellent elasticity and recovery performance, a diaphragm type double optical fiber gas pressure/temperature integrated monitoring system was constructed, and the package of the diaphragm type double fiber optic pressure/temperature sensing model was studied. Beyond that, the performance characteristics of the sensing model was also presented. A series of data analysis of the experiment showed that the strain sensing fiber Bragg grating reflection spectrum shifted to short wavelength direction under the condition of constant temperature with the increasing of the gas pressure, and the strain sensing fiber Bragg grating reflection spectrum sensitivity coefficient was about 0.803 0 nm·MPa-1. The reflection spectrum peak and the sidelobe level showed a good linear relationship with the pressure changing. When the air pressure was constant and temperature changed, fiber Bragg grating center wavelength sensitivity of temperature sensing fiber Bragg grating which was not affected by strain and only sensitive to temperature was about 9.39 pm·℃-1. However, when the pressure and temperature cross changed, micro pressure can be monitored in real-time under the condition of variable temperature. Fiber Bragg grating sensing by the inhomogeneous strain effect has certain chirp reflection spectra, the sidelobe peak wavelength of reflection spectrum will shift because of the change of temperature and pressure, which needs measurements at any moment in accordance with the monitoring environment. It has to be noticed that the temperature and pressure both have a good linear relationship with the fiber Bragg grating reflection spectrum center wavelength, and the spectral reflectance under different air pressure corresponding to the same order number sidelobe peak amplitude is equal. The above research provides a useful help for online comprehensive test of multi physical parameters in aviation spacecraft system.

刘晓颖, 曾捷, 郭晓华, 龚晓静, 李宁溪, 李彤韡, 王计刚. 基于反射光谱特征辨识的光纤气压与温度集成监测方法[J]. 光谱学与光谱分析, 2017, 37(9): 2838. LIU Xiao-ying, ZENG Jie, GUO Xiao-hua, GONG Xiao-jing, LI Ning-xi, LI Tong-wei, WANG Ji-gang. The Integrated Monitoring Method of Optical Fiber Gas Pressure and Temperature Based on Reflection Spectrum Characteristic Identification[J]. Spectroscopy and Spectral Analysis, 2017, 37(9): 2838.

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