基于FBG传感器阵列反演结构振动位移的监测方法  被引量:1

Monitoring method of structural vibration displacement based on the inversion of FBG sensor array

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作  者:黄新敬[1] 程彤遥 马金玉 张志鹏[1] 黄漪 李健[1] HUANG Xinjing;CHENG Tongyao;MA Jinyu;ZHANG Zhipeng;HUANG Yi;LI Jian(State Key Laboratory of Precision Measuring Technology and Instruments,Tianjin University,Tianjin 300072,China;China Railway Design Corporation,Tianjin 300308,China)

机构地区:[1]天津大学精密测试技术及仪器全国重点实验室,天津300072 [2]中国铁路设计集团有限公司,天津300308

出  处:《光通信技术》2024年第1期7-12,共6页Optical Communication Technology

基  金:国家自然科学基金项目(批准号:62073233)资助。

摘  要:针对现有振动位移监测方法易受环境影响且精度不高的问题,提出了一种基于光纤布喇格光栅(FBG)传感器阵列反演结构振动位移的监测方法。该方法使用FBG传感器阵列获取结构振动过程中的多点应变和单点加速度数据,先利用基于正交曲率的曲线重构算法和获得的应变数据重构结构各点的动态位移,然后运用卡尔曼滤波算法将曲线重构算法导出的位移数据与同位置处的单点加速度数据相融合,获得更为准确的位移数据。实验结果表明:该方法可成功重构出监测结构任意时刻的振动形态,悬臂铝板和简支管道的振动位移重构相对均方根误差分别小于5.5%和7%。Aiming at the problem that the existing vibration displacement monitoring methods are easy to be affected by the environment and the accuracy is not high,a monitoring method of structural vibration displacement based on the inversion of fiber Bragg grating(FBG)sensor array is proposed.This method uses FBG sensor array to obtain multi-point strain and single point accele-ration data in the process of structural vibration.Firstly,the curve reconstruction algorithm based on orthogonal curvature and the obtained strain data are used to reconstruct the dynamic displacement of each point of the structure.Then,the displacement data derived from the curve reconstruction algorithm is fused with the single point acceleration data at the same position by Kalman filtering algorithm to obtain more accurate displacement data.The experimental results show that the method can reconstruct the vibration shape of the monitoring structure at any time successfully,and the relative root-mean-square error of the vibration displacement reconstruction of the cantilever aluminum plate and the simple supported pipeline is less than 5.5%and 7% respectively.

关 键 词:光纤布喇格光栅 振动监测 动态形变 位移 卡尔曼滤波 

分 类 号:TN65[电子电信—电路与系统] TB53[理学—物理] TN247[理学—声学]

 

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