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基于混合控制的冷轧带钢厚控系统仿真
引用本文:王洪希,高海,王修岩,张兴华.基于混合控制的冷轧带钢厚控系统仿真[J].计算机仿真,2006,23(1):277-279.
作者姓名:王洪希  高海  王修岩  张兴华
作者单位:1. 北京科技大学信息工程学院,北京,100083;北华大学,吉林,吉林,132021
2. 北京科技大学信息工程学院,北京,100083
3. 北华大学,吉林,吉林,132021
摘    要:带钢轧制是一个复杂的非线性过程,轧辊偏心是高精度冷轧机厚度控制不能忽视的问题。当带钢原料性质、处理量变化等也会导致过程模型发生变化。该文提出一种基于重复控制进行偏心补偿、鲁棒PID控制器对模型不确定性不敏感的带钢厚度控制系统。重复控制是基于内模原理的一种新型控制策略,优点是对周期信号的初始状态没有要求,对轧辊偏心扰动有很强的抑制力;鲁棒PID采用基于最小-最大原理的参数整定方法,对于过程模型在一定变化范围内,控制器具有良好的控制性能。仿真结果证明:系统具有良好的跟随和抗扰性能,表明这种混合控制方法有一定的适用性。

关 键 词:鲁棒  控制  重复控制  仿真
文章编号:1006-9348(2006)01-0277-03
收稿时间:2004-08-25
修稿时间:2004年8月25日

Simultaion of Gauge Control System Based on Hybrid Control for Cold-strip Mill
WANG Hong-xi,GAO Hai,WANG Xiu-yan,ZHANG Xing-hua.Simultaion of Gauge Control System Based on Hybrid Control for Cold-strip Mill[J].Computer Simulation,2006,23(1):277-279.
Authors:WANG Hong-xi  GAO Hai  WANG Xiu-yan  ZHANG Xing-hua
Affiliation:1. Information Engineering School of Universiey of Science and Technology Beijing, Beijing 100083, China; 2. Beihua University, Jilin Jilin 132021 ,China
Abstract:Strip rolling is a very complicated nonlinear process, and roll eccentricity must be treated with high accuracy cold-strip gauge control. Plant process model will change if raw material property or variables change. This paper presents a kind of gauge control system based on repetitive control method for compensating Roll eccentricity and the robust PID method for resisting the model uncertainty. Repetitive control is a new kind of control strategy based on internal model theory, whose advantages are : no requirment to the initial state of periodic signal and strong control power to the roll eccentricity disturbance. Robust PID adopts the parameter enacting method based on Min-Max theory. The contorlled appliance possesses favorable performance as for the movement of process model in certain scope. The simulation results show that this system has good performance of advanced tracking and disturbance resisting. Therefore this hybrid control method has certain applicability.
Keywords:Robust  Control  Repetitive control  Simulation
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