基于神经网络PID炉温控制系统设计  

A Design of Furnace Temperature Control Based on Neural Network PID

作　　者：石晓瑛[1] 

机构地区：[1]华东交通大学电气与电子工程学院,江西南昌330013

出　　处：《武汉工业学院学报》2008年第1期43-45,共3页Journal of Wuhan Polytechnic University

摘　　要：将BP神经网络控制策略引入炉温控制系统,通过神经网络模拟实现PID控制器参数在线调整。在电阻炉炉温控制系统模型的基础上,详细介绍了神经网络PID控制器的算法,并对经典PID参数选取进行了分析。最后将神经网络PID与经典PID控制效果进行了仿真比较。Neural Network control is adopted by furnace temperature control system. And a controller which adjusts the PID parameters on line by BP network is designed. Based on mathematical model of a temperature control system of electric - furnace, the algorithm of Neural Network PID control and the analysis of the selection method of PID control parameters are given in details. At last, BP network PID control and normal PID control are simulated and compared.

关 键 词：BP神经网络 PID控制器 仿真 

分 类 号：TP273.5[自动化与计算机技术—检测技术与自动化装置]