基于神经网络的加热炉烟气含氧量预测及控制  

Heating Furnace Flue Gas Oxygen Concentration Prediction and Control Based on Neural Network

作　　者：景会成[1] 于玉超[1] 侯宝稳[1] 杨友良[1] 

机构地区：[1]河北联合大学电气工程学院,唐山063009

出　　处：《自动化与仪表》2012年第2期30-32,共3页Automation & Instrumentation

摘　　要：文中提出一种加热炉烟气含氧量的神经网络预测方法,并将预测结果用于加热炉空燃比设定补偿,从而实现了加热炉烟气含氧量的空燃比预测补偿控制。仿真结果和实践表明,该预测控制方案是可行的,具有很好的控制效果。This paper presents a furnace flue gas oxygen concentration of the neural network for forecasting and prediction set the compensation for the furnace air-fuel ratio to achieve the predicted furnace flue gas oxygen concentration of air-fuel ratio compensation control.Simulation results show that the method of the control and prediction and actual operation are feasible,and it is of good effect.

关 键 词：加热炉 神经网络 含氧量 空燃比 预测 

分 类 号：TP216[自动化与计算机技术—检测技术与自动化装置]