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基于PID神经网络的智能温度仪表研究
引用本文:朱科,刘红丽,甄玉云.基于PID神经网络的智能温度仪表研究[J].湖北工业大学学报,2008,23(2):71-73.
作者姓名:朱科  刘红丽  甄玉云
作者单位:1. 武汉理工大学自动化学院,湖北,武汉,430063
2. 武汉理工大学自动化学院,湖北,武汉,430063;武汉理工大学智能制造与控制研究所,湖北,武汉,430063
摘    要:热电偶在工业测温中应用广泛,但其温度和热电势之间呈非线性关系,限制了测温精度.利用PID神经网络前馈校正法功能,设计了智能温度仪表硬件电路来解决热电偶温度计算的精度问题.通过实验验证,这种计算方法准确性高、实用性强.

关 键 词:热电偶  PID神经网络  智能温度仪表
文章编号:1003-4684(2008)02-0071-03
修稿时间:2007年12月1日

The Research on the Intelligent Instrument for Measuring Temperature Based on PID Neural Network
ZHU Ke,LIU Hong-li,ZHEN Yu-yun.The Research on the Intelligent Instrument for Measuring Temperature Based on PID Neural Network[J].Journal of Hubei University of Technology,2008,23(2):71-73.
Authors:ZHU Ke  LIU Hong-li  ZHEN Yu-yun
Affiliation:ZHU Ke , LIU Hong-li, ZHEN Yu-yun (1 The School of Automation, Wuhan Univ. of Technology, Wuhan 430063,China 2 Institute of Intelligent Manufacturing, Wuhan Univ. of Technology, Wuhan 430063,China)
Abstract:Thermocouple is widely applied in industry temperature measurement,but it is not a linear relation between its temperature and potential,which limits the precision of measuring temperature.In order to solve the problem of the accuracy of thermocouple temperature calculation,the hardware circuit of Intelligent Instrument is designed with feed forward correction function of the PID Neural Network.The result shows that this computing method has good reliability and practicability.
Keywords:thermocouple  PID neural network  intelligent instrument for measuring temperature
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