王海玉, 郭立伟, 杨荃, 王晓晨, 王淑志, 董立杰. 热轧带钢终轧温度的多模式控制[J]. 工程科学学报, 2019, 41(7): 940-946. DOI: 10.13374/j.issn2095-9389.2019.07.013
引用本文: 王海玉, 郭立伟, 杨荃, 王晓晨, 王淑志, 董立杰. 热轧带钢终轧温度的多模式控制[J]. 工程科学学报, 2019, 41(7): 940-946. DOI: 10.13374/j.issn2095-9389.2019.07.013
WANG Hai-yu, GUO Li-wei, YANG Quan, WANG Xiao-chen, WANG Shu-zhi, DONG Li-jie. Multi-mode control of strip-finishing-temperature in hot-strip mills[J]. Chinese Journal of Engineering, 2019, 41(7): 940-946. DOI: 10.13374/j.issn2095-9389.2019.07.013
Citation: WANG Hai-yu, GUO Li-wei, YANG Quan, WANG Xiao-chen, WANG Shu-zhi, DONG Li-jie. Multi-mode control of strip-finishing-temperature in hot-strip mills[J]. Chinese Journal of Engineering, 2019, 41(7): 940-946. DOI: 10.13374/j.issn2095-9389.2019.07.013

热轧带钢终轧温度的多模式控制

Multi-mode control of strip-finishing-temperature in hot-strip mills

  • 摘要: 结合国内某2250 mm热连轧精轧机组, 实现速度调节、机架间水调节、速度和机架间水耦合调节三种控制模式, 能够根据热连轧过程中的不同钢种和不同工况采用相适应的控制模式, 以获取最佳的控制效果. 同时, 利用二次规划优化法在线优化不同控制模式的调节量, 以满足带钢全长终轧温度的控制要求. 将多模式控制模型在线应用后, 带钢终轧温度控制偏差在±20℃以内, 连续三个月命中率为99%以上. 结果表明, 该控制模型响应速度快, 计算精度高, 能够满足不同钢种和不同工况下的终轧温度控制要求, 从而提高带钢轧制稳定性和终轧温度控制精度, 提升产品竞争力.

     

    Abstract: At present, hot-rolled strip manufacturing has gradually exhibited more diversity and process complexity. Using the single control strategy, the traditional strip-finishing temperature-control mode shows some defects and deficiencies, for example, low control precision, slow production rhythm, and great fluctuation in the strip-finishing-temperature curve, which cannot meet the requirements for high precision and high-performance product control. For use with domestic 2250 mm hot-strip mills, a multi-mode control model was developed on a quadratic programming algorithm for the strip-finishing temperature. The proposed multi-mode control model has three control modes to regulate the speed, inter-stand cooling, and coupled speed and inter-stand cooling. To obtain the best control effect, the appropriate control mode can be adopted depending on the different steels used and different working conditions in the hot-rolling process. At the same time, based on the cooling capacity of the adjustable rack and the calculated strip-finishing temperature, Newton-Raphson iteration and the acceleration calculation model were used to calculate the large acceleration region and the quadratic programming optimization method to optimize the on-line adjustment of different control modes to meet all the strip-finishing temperature-control requirements. The on-line application of the proposed multi-model realized a 99% hit rate or better on the strip-finishing temperature for three consecutive months, with a deviation in the strip-finishing-temperature control of ±20℃. A 97.2% hit rate or better was realized on the strip-finishing temperature for three consecutive months with a deviation in the strip-finishing-temperature control of ±15℃. These results show that the control model has the advantages of a fast response speed and high precision and meets the requirements of finishing-temperature control for different steels and different working conditions. As such, the proposed method improves the strip-rolling stability and the accuracy of the finishing-temperature control and enhances product competitiveness.

     

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