摘要
分析了光纤光栅电流传感器的温度特性,表明传感器的输出受环境温度的影响大且很难消除。利用神经网络具有可以逼近任意非线性函数的特点,提出了用人工神经网络对光纤光栅电流传感器进行温度补偿的方法,实现传感器输出特性的非线性校正。通过Matlab语言编程仿真实验表明,该方法可以有效地消除温度的影响。
A method for temperature compensation of fiber Bragg grating current sensor based on artificial neural network is presented in this paper. The output characteristics of FBG current sensors are analyzed. It is found that the response of the current sensor is nonlinear and the sensor suffers from the influence of temperature, which is hard to avoid. The paper introduces the way to solve the above problems by creating a neural network, training the network and simulating the network with Matlab language. It is revealed from the simulation results that the influence of environmental temperature fluctuation can be eliminated effectively.
出处
《传感技术学报》
CAS
CSCD
北大核心
2008年第9期1528-1531,共4页
Chinese Journal of Sensors and Actuators
关键词
光纤光栅
神经网络
电流传感器
温度补偿
fiber Bragg Grating（FBG）
neural network
current sensor
temperature compensation
