温度传感器非线性校正系统设计  

Design of nonlinear calibration system for temperature sensor

作　　者：刘继伟[1] 张海浪[1] 

机构地区：[1]天津理工大学中环信息学院自动化工程系,天津300380

出　　处：《实验室科学》2015年第2期58-59,65,共3页Laboratory Science

摘　　要：传感器是工业自动化生产中不可或缺的重要组成部分,从其诞生至今已得到了长足的发展。随着工业化水平的提高,控制系统对传感器的测量精度要求日益提高。提出了一种基于BP神经网络的温度传感器校正系统的设计方法,使用Atmega单片机作为平台,采用BP神经网络,对温度传感器的测量结果进行非线性校正,以提高传感器的测量精度。该方法具有实现简单,成本较低的特点。Sensors are important parts for industrial automation, and have been considerable development. With the enhancement of industrial automation, the accuracy requirement of sensors is increasing. A method of calibration for temperature sensors based on BP neural network was proposed, which uses micro control unit named Atmega to calibrate the result of temperature sensors. With the heIp of the method, the accuracy of temperature sensors can cost and simplify realized. be improved. The method has characteristic of low

关 键 词：神经网络 温度传感器 非线性校正 单片机 

分 类 号：TP212.11[自动化与计算机技术—检测技术与自动化装置]