| 基于神经网络的光纤光栅压力传感器的温度补偿 |
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| 引用本文： | 徐伟,张帅,王克家.基于神经网络的光纤光栅压力传感器的温度补偿[J].应用科技,2009,36(12):17-19,23. |
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| 作者姓名： | 徐伟 张帅 王克家 |
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| 作者单位： | 哈尔滨工程大学,信息与通信工程学院,黑龙江,哈尔滨150001 |
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| 基金项目： | 国家高技术发展计划资助项目 |
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| 摘 要： | 针对光纤光栅自身对温度和应变的交叉敏感性，以及光纤光栅压力传感器的输出受环境温度影响很大且不易消除的问题，以聚合物封装的光纤光栅传感器为例，提出了用BP神经网络实现光纤光栅压力传感器温度补偿的方法，解决了传感器输出特性的非线性校正的问题．通过Matlab仿真结果显示，系统最大测量误差由1915％降低到4．26％；实验证明该方法可以有效地减少温度对光纤光栅压力传感器测量精度的影响．
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| 关 键 词： | 光纤布拉格光栅 BP神经网络 压力传感 温度补偿 |
Temperature compensation for FBG pressure sensor based on artificial neural network |
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| XU Wei,ZHANG Shuai,WANG Ke-jia.Temperature compensation for FBG pressure sensor based on artificial neural network[J].Applied Science and Technology,2009,36(12):17-19,23. |
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| Authors: | XU Wei ZHANG Shuai WANG Ke-jia |
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| Institution: | (College of hfformation and Communication Engineering, Harbin Engineering University, Harbin 150001, China) |
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| Abstract: | Fiber Bragg Grating （FBG）itself has cross-sensitivity to temperature and stress, and the output of an FBG pressure sensor is seriously influenced by environmental temperature, which is hard to be got rid of. Take the FBG pressure sensor with polymer package as an example, this paper introduces the way to realize temperature compensation for the FBG pressure sensor by creating a BP neural network, and thus solve the problem of nonlinear adjustment to the output characteristic of the sensor. The simulation by Matlab reveals that the influence of environmental temperature fluctuation can be eliminated effectively. The maximum measurement error of the system has decreased from 1915% to 4.26%. The experiment proves that the method proposed can effectively reduce the influence of temperature on the measuring precision of the FBG pressure sensor. |
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| Keywords: | FBG BP neural network pressure sensor temperature compensation |
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