摘要
活套系统控制的好坏,直接影响成品带钢的宽度、厚度等性能指标。活套系统的控制目标是恒定活套量下保持张力波动尽可能小,即降低活套张力控制和高度控制的相互干扰,使系统更加稳定。控制系统能够根据检测到的活套辊摆角的变化,一方面给出控制率去调整上游机架的轧辊速度以保持套量不变;另一方面在带钢轧制过程中,为了保持恒定带钢张力,活套输出的张力矩就必须随着活套角度的不同而相应地改变。针对活套系统非线性、强耦合、多约束等特点,以鞍钢1700热连轧精轧机组为背景,建立了活套系统的动态数学模型。针对该模型提出了一种新型控制策略--单神经元PID与小脑模型复合控制算法来实现活套系统的多变量解耦控制。仿真结果验证了本算法的有效性,其解耦响应速度和抗干扰能力明显优于传统PID解耦控制效果。
The control quality of looper system affects directly performances in the width and thickness of a product. The objective of looper control is to keep tension fluctuation as small as possible under constant looper height. It is necessary to reduce interference between the tension and height, and to make the system more stable. According to the detected looper roller angular change, the system not only gives control rate to adjust the roller speed in upstream stand to keep the looper height but also maintains constant strip tension in the process of rolling. The output tension torque of the looper must be changed with different looper angle when looper arm is in a swing state. A looper system has the features of nonlinearity, strong coupling, uncertainty, and multi-constraints. In this paper, a dynamic mathematical model of looper system is set up based on 1700ASP. A new control strategy of the CMAC and single neurons PID is introduced to decouple the system. Simulation results show that the algorithm is effective and its response speed and anti-interference ability are superior to conventional PID control.
出处
《控制工程》
CSCD
北大核心
2015年第1期102-107,共6页
Control Engineering of China
基金
国家自然基金项目(61273003)
关键词
活套系统
建模
智能解耦
小脑模型
looper system
modeling
intelligent decoupling
CMAC
