神经网络PID在煤泥干燥温度控制中的应用  

Application of PID Controller Based on Neural Network on Control of Temperature of Drying Silt Coal

作　　者：王海群[1] 张玮[1] 王玉东[2] 

机构地区：[1]河北理工大学计控学院,河北唐山063009 [2]河北理工大学智能仪器厂,河北唐山063000

出　　处：《煤炭技术》2009年第11期151-153,共3页Coal Technology

摘　　要：针对煤泥滚筒干燥机出口温度的控制,提出了应用基于BP神经网络的PID控制器对其进行控制,并研究了它的学习算法,进行了MATLAB仿真,通过仿真结果与传统PID进行了比较。仿真结果表明,神经网络PID控制器在煤泥干燥温度控制中具有很高的应用价值。About the control of the slime drum dryer outlet temperature,this article presents that it is controlled with PID controller based on the BP neural network,and researchs its learning algorithm simulated by MATLAB,It s simulation result is compared with the traditional PID controller s.Finally the simulation result shows that it has a high application value for neural network PID controller to control the drying temperature in the silt coal.

关 键 词：温度控制 神经网络PID控制器 学习算法 仿真 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]