基于RBF网络的光纤位移传感器温度补偿研究  

Research on temperature compensation of optical fiber displacement sensor based on RBF neural network

作　　者：韦兆碧[1] 刘晔[1] 马志瀛[1] 胡光辉[1] 时德钢[1] 

机构地区：[1]西安交通大学电气工程学院,陕西西安710049

出　　处：《电工电能新技术》2004年第2期42-45,55,共5页Advanced Technology of Electrical Engineering and Energy

摘　　要：提出了一种解决光纤位移传感器温度影响的软件补偿方法。该方法基于RBF神经网络理论 ,将位移传感器和温度传感器的输出进行神经网络处理 ,基本消除了温度对光纤位移传感器的影响。为存在温度影响的光纤类传感器的实用化设计提供了一种可行途径。实验表明 ,神经网络处理后光纤位移传感器的温度敏感度系数下降了两个数量级 ,测量准确度和系统稳定性均得到提高。In this paper a new software compensation method based on the theory of RBF neural network to solve the temperature effect on the optical fiber displacement sensor is presented. In this method, the outputs of the displacement sensor and the temperature sensor are processed using the neural network, and the temperature effect on optical fiber displacement sensor is basically overcome. A practically feasible way for actual design of optical fiber sensor with the temperature effect is proposed. After using the neural network, the experiment shows that the coefficient of temperature sensitivity of the optical fiber displacement sensor is reduced by two order of magnitude and both the accuracy of measurement and stability of the system are improved.

关 键 词：光纤位移传感器 温度敏感度 补偿 RBF神经网络 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置] TP183[自动化与计算机技术—控制科学与工程]