LabVIEW设计中压力传感器的RBF神经网络温度补偿

在石油平台注水压力监测系统设计中 ,采用LabVIEW虚拟仪器平台 ,嵌入逼近能力强和收敛速度快的RBF神经网络 ,以人工环境实验数据为样本进行训练 ,实现了压力传感器的智能网络温度补偿。结果显示 ,此方法能够在压力、温度变化较大的恶劣环境下 ,获得很高的补偿精度。

RBF Neural Network Temperature Compensation for a Pressure Transducer Based on LabVIEW

Based on the research of design platform of virtual instrument(LabVIEW) and connected with neural network technology, in this paper, the intelligent temperature compensation for a pressure transducer is achieved. It is canbe applied to the design the injection supervisory and control system of the seawater on the oil platform. In the method of temperature compensation a RBF neural network is used. It is more accurate and converges quicker and the sample data can be acquired from an experiment with a artificial environment. The application of the result shows that this design can attain effective intelligent temperature compensation for a pressure transducer at atrocious environment of different pressure and temperature, and obtain excellent compensation precision.