基于BP网络的高精度信号调理系统的研制  

Design and Implementation on Signal Conditioner with High Precision Based on BP Neural Net-works

作　　者：张巍[1] 孙同景[1] 王丕涛[2] 

机构地区：[1]山东大学控制科学与工程学院,山东济南250061 [2]济南大学机电学院,山东济南250061

出　　处：《微计算机信息》2008年第11期271-272,304,共3页Control & Automation

基　　金：山东省自然科学基金项目(Z2006F05)

摘　　要：为提高压力传感器输出信号的调理精度,研制了基于BP神经网络的高精度智能信号调理系统。设计了基于MAX1452的信号调理电路、通信接口电路,完成硬件平台的搭建。选择BP神经网络算法作为传感器补偿算法,并编程实现。通过测试系统,验证了采用神经网络算法的可行性。An intelligent signal conditioner with high precision based on BP neural networks is proposed to increase the precision of the pressure sensor s output. Based on MAX1452, the paper firstly designs the circuit of signal conditioner and communication, and then completes the hardware of the system. The neural network is selected as the compensation method. The experimental results in-dicate that the method based on BP neural networks is available.

关 键 词：神经网络 信号调理 传感器 补偿 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]