摘要
以加热炉动态过程全炉钢坯温度跟踪计算机理模型获得控制输入信息,将模糊控制方法应用于炉温的动态控制,构造了带有前馈修正的模糊控制器.该模糊控制器不仅把本段控制点的输出偏差和偏差变化率作为模糊决策的依据,并且将前段控制点的偏差也作为控制器的前馈输入,使炉温决策具有超前功能.利用计算机仿真,模拟了炉子产量波动和非计划待轧时模糊决策系统的执行结果,表明该控制方法适应炉内动态特性,具有良好的控制品质.
The fuzzy control technique was applied to the dynamic control process of reheating furnace temperature with the data input from the mechanism modeling to track the change in the temperature of all blooms in the furnace, thus building a fuzzy controller with feedforward modification. The controller not only took the output deviations and their change rates of the controlling points in the present zone as the frame of reference to fuzzy decision but took those in the backing zone as the feedforward input so as to enable the furnace temperature decision to get an advance function, The output fluctuation of the furnace and the fuzzy decision system for unscheduled workpieces to roll out were simulated. The results showed that the approach proposed is adaptable to the dynamic characteristics in reheating furnace with excellent controllability.
出处
《东北大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2005年第9期878-881,共4页
Journal of Northeastern University(Natural Science)
基金
国家自然科学基金资助项目(50227401)
关键词
加热炉
机理模型
模糊控制
炉温决策
reheating furnace
mechanism modeling
fuzzy control
furnace temperature decision
