光纤电压传感器的温度跟踪补偿

分析了光纤电压传感器的温度特性 ,表明测量范围较宽时 ,传感器的输出易受环境温度的影响 ,并且呈非线性。提出一种基于人工神经网络的光纤电压传感器温度跟踪补偿方法。利用神经网络具有逼近任意非线性函数的特点 ,通过训练使神经网络建立在不同环境温度下传感器输出与其实际感受的电压值之间的非线性映射关系 ,实现光纤电压传感器温度全程跟踪补偿。计算机仿真表明 ,该方法不仅能有效地消除温度的影响 ,而且能在神经网络的输出端得到期望的线性输出。

Temperature Tracking Compensation of Fiber Optic Voltage Sensor

The output characteristic of fiber optic voltage sensor is analyzed. It is found that the response of the voltage sensor is nonlinear and the sensor suffers from the influence of temperature over a wide measuring range. A method for temperature tracking compensation of fiber optic voltage sensor based on artificial neural network is presented in this paper. In order to realize temperature tracking compensation over a full range, the neural network is trained to properly represent the nonlinear mapping between the sensor reading and their represented output accurately at different environmental temperature. It is revealed from the computer simulation result that not only the influence of temperature fluctuation can be eliminated effectively, but also a desired linear relationship between the sensor input and the neural network output can be obtained.