摘要
热处理加热炉是一种具有纯滞后的大惯性不确定系统 ,常规的控制方法很难达到控制要求。本文提出了一种基于神经网络的自校正调节系统 ,可使加热炉按照预定的温度曲线升温 ,以获得良好的跟随性能。运行结果表明 。
Heat treatment furnace has features such as longdelay,uncertain etc.Normal control method cann't satisfy the request.This article proplsed a selftuning system based on Neural Network,it can track the temperature curve primely.This algorithm has been put to use,and the results indicates that the system has reasonable control scheme and good controleffect.
出处
《计算技术与自动化》
2001年第4期32-34,41,共4页
Computing Technology and Automation
