摘要
为伯利恒钢铁公司新建的酸洗冷轧联合机组开发了一套综合自动化方案 ,以满足对产品高质量的要求。轧机自动化以神经网络模型为基础进行道次表、弯辊和窜辊设定点、以及平直度动态控制参数的计算。所涉及的新技术包括多变量张力控制、液压调节的非线性控制和轧制厚度的快速更换等 。
To meet demands for high product quality, a comprehensive automation concept has been developed for the new linked pickle and tandem mill cold rolling line at Bethlehem Steel. Mill automation is based on models with neural networks for pass schedule calculation and computation of set points for roll shifting and bending, and parameters for dynamic flatness control. The new technologies involved include multivariable tension control, non linear control of hydraulic adjustment, and high speed, flying gauge changes to minimize production losses.
出处
《钢铁》
CAS
CSCD
北大核心
2001年第12期34-39,共6页
Iron and Steel
