精细化在线动态二冷控制研究与应用  

Research and Application of Precise Online Control for Dynamic Secondary Cooling in Continuous Casting Process

作　　者：钱宏智[1] 邱成国[1] 廖慧[1] 赵鹏[1] 郭雨春[1] 

机构地区：[1]北京首钢自动化信息技术有限公司自动化研究所混合流程工业自动化系统及装备技术国家重点实验室首钢分实验室

出　　处：《自动化博览》2016年第11期38-41,57,共5页Automation Panorama1

摘　　要：控制非稳态浇铸条件下的铸坯表面温度波动是在线动态二冷控制的关键。准确的计算凝固进程也是实施末端轻压下与电磁搅拌的重要依据。本研究针对某厂板坯连铸,开发了基于二维温度场求解的在线动态二冷控制模型。该模型采用显式的完全有限差分算法,考虑了液、固相线穿过差分节点的极端过程。对于钢种热物性参数的选择,采取完全与温度相关的具体值,进一步提升了模型的准确性。同时,采用多线程并行计算,在计算精度和计算效率两方面都很好地满足了在线控制的要求。通过现场的应用,与传统的一维模型PID目标表面温度算法相比,具有表面温度波动小、控制精度高的巨大优势。Bulk surface temperature fluctuation control under non-stationary casting condition is the ultimate goal of online dynamic secondary cooling control in continuous casting. Meanwhile, accurate calculation of solidification process is the fundamental basis for the implementation of soft reduction （SR） and final electromagnetic stirring （F-EMS）. In this study, we developed an online dynamic secondary cooling model based on a two-dimensional temperature field solution for slab casting. This model adopted the explicit complete finite-difference algorithm and takes into consideration the extreme situation that liquidus or solidus lines pass through the differential nodes. The thermal physical parameters of steel grades used in the model were chosen completely by temperature- dependent values to increase the accuracy of the model. At the same time, a multi- threaded parallel computing was used to guarantee both the calculation precision and calculation efficiency to satisfy the requirements of online control. Compared to the existing one-dimensional model, which is based on the target surface temperature PID algorithm, the new model has obvious advantages in small surface temperature fluctuation and high control precision.

关 键 词：板坯连铸 动态二冷 二维模型 完全差分 并行计算 

分 类 号：TF777[冶金工程—钢铁冶金] TP273[自动化与计算机技术—检测技术与自动化装置]