罩式退火炉温控系统的神经网络PID预测控制  

Neuron Network PID Prediction Control for Temperature Control System of Mantling Anneal Boile

作　　者：林丽君[1] 李书臣[1] 王宏楠[1] 邓淑贤[1] 

机构地区：[1]辽宁石油化工大学信息与控制工学院,辽宁抚顺113001

出　　处：《河南科技大学学报（自然科学版）》2007年第5期1-4,共4页Journal of Henan University of Science And Technology:Natural Science

基　　金：辽宁省教育厅科学研究计划项目(2004D031)

摘　　要：罩式退火炉温控系统是一类具有大滞后及模型慢时变系统,采用传统控制方法其效果并不理想。因此,将神经网络PID预测控制思想应用于罩式退火炉温控系统,利用灰色预测模型与四阶龙格库塔法相结合对罩式退火炉温控系统的行为进行预测,同时结合神经网络PID控制器克服预测误差、系统干扰等不确定因素带来的影响,提高系统的自适应性。仿真结果表明,系统运行平稳,受不确定因素的影响较小,对罩式退火炉温控系统具有良好的控制效果。Temperature control system of mantling anneal boiler is a kind of great delay and model slow changes system,it is unfavorable to control it with traditional controller.So,neuron network PID prediction control is used for temperature control system of mantling anneal boiler.Grey prediction model and fourth order Runge-Kutta are introduced for predictive model.The behaviors of temperature control system of mantling anneal boiler is predicted.At the same time,neuron network PID controller is used to overcome the effect of uncertain factors such as error in predicition,disturbance in systems and so on.In computer simulation,the systems exert stabily,and the effect of uncertain factors is small.The system has good control effect to temperature control system of mantling anneal boiler.

关 键 词：罩式退火炉 灰色预测模型 四阶龙格库塔法 神经网络PID控制器 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]