基于卡尔曼滤波算法的嵌入式光纤光栅解调系统  

Embedded Fiber Grating Demodulation System Based on Kalman Filter Algorithm

作　　者：王日东 刘丽 宋浩霖 王宇 白清 刘昕 靳宝全 WANG Ridong;LIU Li;SONG Haolin;WANG Yu;BAI Qing;LIU Xin;JIN Baoquan(Key Laboratory of Advanced Transducers and Intelligent Control System of Ministry of Education and Shanxi Province,Taiyuan University of Technology,Taiyuan Shanxi 030024,China;State Key Laboratory of Coal and CBM Co-Mining,Jincheng Shanxi 048012,China)

机构地区：[1]太原理工大学新型传感器与智能控制教育部与山西省重点实验室,山西太原030024 [2]煤与煤层气共采国家重点实验室,山西晋城048012

出　　处：《传感技术学报》2023年第10期1602-1606,共5页Chinese Journal of Sensors and Actuators

基　　金：山西省煤气层联合研究基金(2016012011);山西省科技创新团队项目(201805D131003)。

摘　　要：针对目前光纤光栅解调系统算法复杂,需要借助上位机进行解调的不足,设计了一种基于卡尔曼滤波算法的嵌入式光纤光栅解调系统。该系统在STM32嵌入式平台上采用卡尔曼滤波算法,结合趋势判断算法实现了FBG中心波长的快速解调。实验结果表明,系统的测温精度可达±0.1℃,对FBG温度传感器中心波长的解调稳定性可达±3 pm,温度与波长线性变化的拟合度可达0.998以上,能够满足实际工程应用的需求。In order to solve the problem that the demodulation algorithm of fiber grating is complex and needs to be demodulated by upper computer,an embedded fiber grating demodulation system based on Kalman filter algorithm is designed.Based on STM32 embedded platform,the system uses Kalman filter algorithm and trend judgment algorithm to realize the fast demodulation of FBG fiber grating center wavelength.The experimental results show that the temperature measurement accuracy of the system can reach±0.1℃,the demodulation stability of the FBG temperature sensor’s central wavelength can reach±3 pm,and the fitting degree of the linear change of temperature and wavelength can reach above 0.998,which can meet the needs of practical engineering applications.

关 键 词：光纤光栅(FBG) STM32 嵌入式 卡尔曼滤波 趋势判断 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]