单机架炉卷轧机监控AGC控制算法的研究  

Research of monitor AGC arithmetic in single-stand Steckel mill

作　　者：杨东红[1] 郗安民[1] 张宏昌[1] 

机构地区：[1]北京科技大学机械工程学院,北京100083

出　　处：《微计算机信息》2009年第1期20-21,2,共3页Control & Automation

摘　　要：为解决单机架炉卷轧机监控AGC的大时滞和控制精度问题,针对常规PID不能自我进化的缺点,本文采用BP神经网络对PID控制器进行参数自整定,并将该智能控制器与Smith预估器结合对AGC系统进行监控,既解决了自我进化问题,也克服了时滞,通过仿真分析和现场验证,其收敛速度和鲁棒性明显改善。Considered the general PID can＇t improve itself, a BP neural network PID is proposed to improve the control precision and large time deday of monitor ACC of a Steekel rolling mill. And then the intelligent PID and Smith prediction control machine are combined to minitor the A（;C system so that the self-learning capability and time delay of the system evidently improved. It was proved that the robustness and convergence rate of the system is obviously improved by simulation and implement experiment.

关 键 词：炉卷轧机 监控AGC 智能PID SMITH预估器 

分 类 号：TG334.9[金属学及工艺—金属压力加工] TP273[自动化与计算机技术—检测技术与自动化装置]