摘要
针对光纤环形腔衰荡光谱技术(FLCRDS)传感器应用过程中对环境参量敏感问题,提出一种基于双路FLCRDS技术的压力传感器,其中一路在传感头压力一定情况下利用衰荡时间来测量环境温度,另一路利用衰荡时间来测量传感头所受压力大小。再基于反向传播(BP)神经网络进行温度补偿,以传感器输出的环境温度、测量压力值作为输入样本,传感头实际压力值作为输出样本,通过网络训练使系统所测压力值得到温度补偿。实验结果表明:该方法可使传感器性能得到有效改善,在20~50℃范围内温度补偿后压力测量误差减小至2.47%。
In order to solve the problem of sensitivity to environmental parameters in the application of fiber loop cavity ring-down spectroscopy(FLCRDS)sensors,a pressure sensor based on dual-channel FLCRDS technology is proposed.One channel uses the ring-down time to measure the ambient temperature under a fixed pressure on this sensor head,and the other channel uses the ring-down time to measure the pressure on the sensor head.Temperature compensation is then performed based on the back propagation(BP)neural network.The ambient temperature and measured pressure value output by the sensor are used as input samples and the actual pressure value of the sensor head is used as the output sample.Through network training,the measured pressure value of the system is temperature-compensated effectively.Experimental results show that this method can improve the performance of the sensor effectively,and the pressure measurement error is reduced to 2.47%after temperature compensation in the range of 20~50℃.
作者
黄艳
HUANG Yan(College of Electronics and Information,Zhangzhou Institute of Technology,Zhangzhou 363000,China)
出处
《传感器与微系统》
北大核心
2026年第4期56-61,共6页
Transducer and Microsystem Technologies
基金
福建省中青年教师教育科研项目(JAT201264)
福建省教育科学“十四五”规划2022年度课题(FJJKGZ22-039)。
