基于PID神经元网络的冷连轧板形板厚多变量综合控制  

Strip flatness and gauge multivariable complex control at cold tandem millbased on PID neural network

作　　者：王莉[1] 陈缅仁 孙一康[1] 封苏伟[2] 

机构地区：[1]北京科技大学高效轧制国家工程研究中心,北京100083 [2]首都钢铁公司

出　　处：《冶金自动化》2002年第2期15-18,共4页Metallurgical Industry Automation

摘　　要：针对板带材轧制是一个复杂的非线性过程 ,板形控制(AFC)和板厚控制(AGC)又是相互耦合的一个综合系统等特点 ,本文提出了一种基于PID神经元网络的冷连轧板形板厚多变量综合控制系统。仿真结果证明了此AFC AGC控制系统具有良好的自适应跟随和抗扰性能 ,其控制效果优于传统的解耦PID控制。Strip rolling is a very complicated nonlinear process, and characterized by couple between automatic flatness control(AFC) and automatic gauge control(AGC). This paper presents a kind of strip flatness and gauge complex control system based on PID neural network multivariable controller design method. The simulation results show that this kind of new controller has good performances of adaptively tracking target and resisting disturbances and is superior to the conventional decoupled PID control in improving the strip flatness and gauge accuracy.

关 键 词：神经网络控制 板形控制 板厚控制 PID神经元网络 冷连轧 

分 类 号：TG334.9[金属学及工艺—金属压力加工] TG335.5