中厚板厚度控制模型的自学习

结合南钢2 500 mm精轧机组改造项目,根据中厚板生产工艺特点,确定合理的弹跳模型和轧制力模型.考虑到弹跳模型具有较高精度以及其自学习不依赖于轧制力模型精度的特点,首先进行弹跳模型的自学习,再利用修正后的弹跳模型计算轧件出口厚度,将其用于轧制力模型的自学习.轧制力模型的自学习主要是修正钢种硬度系数,分短期自学习和长期自学习两部分,分别用于修正本批次钢和本规格钢的硬度系数,短期自学习结果是长期自学习的数据来源,长期自学习结果保存进数据库供以后计算使用.研究结果应用于南钢中板厂后,厚度控制命中率提高了13.3%.

Self-Learning of Gauge Control Model for Plate Rolling

According to the characteristics of plate rolling, a more reasonable mill spring model and rolling force model are developed for the reform project of 2 500 mm finishing mill in Nan Steel. Considering that the high precision of the mill spring model and its self-learning is independent of the rolling force model, the self-learning is implemented first in the mill spring model as modification. Then, the workpiece gauge at exit is computed by the modified mill spring model used to implement the self-learning in the rolling force model where the short-term self-learning is used to correct the workpiece hardness coefficients of different batches, whereas the long-term one is to correct those of different steel grades. In this way, the cumulative results of short-term self-learning become the data source for subsequent computation. The method are kept and listed in database for subsequent computation. The method proposed was applied to the Medium Plate Mill Nan Steel, by which the hit rate of plate gauge control was increased by 13.3%.