论文部分内容阅读
针对热轧带钢粗轧头尾宽度尺寸精度低的现状,分析了带钢头尾宽度超差的原因,提出了采用短行程控制(short stroke control,简称SSC)的解决方案。针对传统的短行程控制模型在实际应用过程中控制精度不高的问题,开发了短行程控制在线自学习功能。采用加法自学习的方法,利用轧后实测宽度数据对短行程控制模型参数进行自学习。国内某热轧厂现场实际应用表明:自学习后的短行程控制模型,能够将带钢头尾与稳定段宽度超差控制在2 mm之内;金属收得率提高到98%以上。
In view of the low precision of head and tail width and width of hot strip mill, the reason of head and tail width tolerance was analyzed and a solution using short stroke control (SSC) was proposed. Aiming at the problem that the traditional short stroke control model has poor control accuracy in practical application, an online self-learning function of short stroke control was developed. Adopting the method of additive self-learning, self-learning parameters of short-stroke control model are obtained by using measured width data after rolling. The practical application in a domestic hot rolling mill shows that the short stroke control model after self-learning can control the width tolerance of the head and tail of the strip and the stability section within 2 mm, and the metal recovery rate can be increased to more than 98%.