热轧带钢厚规格层流冷却控制策略优化

Optimization of laminar cooling control strategy for thick gauge hot rolled strip steel

某钢厂热轧在生产11 mm以上厚规格带钢时由于层流冷却控制缺乏精确的数学模型,且控制存在较大滞后性,11 mm以上厚规格带钢长度短,模型控制易产生预设定不准、动态调整滞后甚至是反向调整导致卷取温度震荡大或卷取废钢等问题。本文结合生产过程中层流冷却控制的实际情况进行大量统计分析,开发了一种新的基于钢种、厚度、宽度、终轧温度、穿带速度、第一加速度、最高穿带速度、层流目标温度等的分类查表模型,具有预设定计算、前馈控制、反馈控制、自学习等功能。经现场检验,本文提出的解决方案能有效提高11 mm以上厚规格带钢的卷取温度控制精度和稳定性,卷取温度±20℃命中率达到93.27%。

Due to the lack of accurate mathematical models for laminar cooling control and significant hysteresis in the production of steel strips with a thickness of over 11 mm during hot rolling at a certain steel plant,the length of steel strips with a thickness of over 11 mm is short,and the model control is prone to problems such as inaccurate presetting,dynamic adjustment lag,and even reverse adjustment,resulting in large temperature fluctuations or scrap coiling.This article conducts extensive statistical analysis based on the actual situation of laminar cooling control in the production process,and develops a new classification table lookup model based on steel grade,thickness,width,final rolling temperature,threading speed,first acceleration,maximum threading speed,laminar target temperature,etc.It has functions such as preset calculation,feedforward control,feedback control,self-learning,etc.After on-site inspection,the solution proposed in this article can effectively improve the accuracy and stability of coiling temperature control for steel strips with a thickness of over 11 mm,and the hit rate of coiling temperature±20℃reaches 93.27%.