热轧带钢终轧温度的多模式控制
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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.
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.
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.
引文
[1] Gao S Q. Research on Model for Strip Temperature Prediction of Finishing Rolling in Hot Strip Steel Mill[Dissertation]. Beijing:University of Science and Technology Beijing,2010(高世卿.热连轧带钢终轧温度预报模型的研究[学位论文].北京:北京科技大学,2010)
[2] Sun Y K. Model and Control of Cold and Hot Rolled Strip Mill.Beijing:Metallurgical Industry Press,2010(孙一康.冷热轧板带轧机的模型与控制.北京:冶金工业出版社,2010)
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[4] Song Y,Jing F W,Yin S,et al. High-precision coiling temperature control model for heavy gauge strip steel. Chin J Eng,2015,37(1):106(宋勇,荆丰伟,殷实,等.厚规格热轧带钢高精度卷取温度控制模型.工程科学学报,2015,37(1):106)
[5] Fu X,Chen S X,Zou J,et al. Hybrid temperature model for hot strip in finishing stands. J Zhejiang Univ Eng Sci,2008,42(2):219(傅新,陈水宣,邹俊,等.热轧带钢精轧过程的混合温度模型.浙江大学学报(工学版),2008,42(2):219)
[6] Zhang B,Guo Q,Zhang F,et al. Temperature optimization and control strategy of hot rolled in finishing. Control Eng China,2014,21(3):352(张博,郭强,张飞,等.精轧温度模型优化算法与控制策略的研究.控制工程,2014,21(3):352)
[7] Serajzadeh S. Prediction of temperature variations and kinetics of austenite phase change on the run-out table. Mater Sci Eng A,2006,421(1-2):260
[8] Fischer F D,Schreiner W E,Werner E A,et al. The temperature and stress fields developing in rolls during hot rolling. J Mater Process Technol,2004,150(3):263
[9] Stepashin A M,Kondrat'ev A A,Shleining L I. Effect of the finishing temperature in rolling operations on the striation of strip for side members. Metallurgist,2003,47(1-2):88
[10] Wang S J,Xu J Z. Effects of acceleration rate on finishing temperature of hot rolling strip. Hot Work Technol,2012,41(7):81(王淑君,徐建忠.加速度对热带终轧温度的影响.热加工工艺,2012,41(7):81)
[11] Gong D Y,Xu J Z,Liu X H,et al. Piecewise micro tracking control of finishing temperature during continuous strip hot rolling. J Northeast Univ Nat Sci,2006,27(8):883(龚殿尧,徐建忠,刘相华,等.热连轧带钢终轧温度控制控制样本跟踪策略.东北大学学报(自然科学版),2006,27(8):883)
[12] Shi L X,Wang S Z,Xu W,et al. Control and optimization of strip finishing rolling temperature. Steel Roll,2013,30(4):61(时连兴,王淑志,徐伟,等.热轧带钢终轧温度控制与优化.轧钢,2013,30(4):61)
[13] Wang H Y,Gao L,Zhao Q,et al. Study and application of strip finishing temperature control model in hot strip mills. Control Eng China,2018,25(4):677(王海玉,高雷,赵强,等.热轧带钢终轧温度控制模型的研究与应用.控制工程,2018,25(4):677)
[14] Lu Z J,Wei Z L. Decomposition method for quadratic programming problem with box constraints. Math Numer Sin,1999,21(4):475(卢战杰,魏紫銮.边界约束二次规划问题的分解方法.计算数学,1999,21(4):475)
[15] Xie Z,Li J P,Chen Z. Theory and Methods of Nonlinear Optimization. Beijing:Higher Education Press,2010(谢政,李建平,陈挚.非线性最优化理论与方法.北京:高等教育出版社,2010)
[2] Sun Y K. Model and Control of Cold and Hot Rolled Strip Mill.Beijing:Metallurgical Industry Press,2010(孙一康.冷热轧板带轧机的模型与控制.北京:冶金工业出版社,2010)
[3] Song Y,Tang D,Zhao Z Y,et al. Improvement of the temperature model for a finishing mill group in hot rolling. J Univ Sci Technol Beijing,2002,24(5):547(宋勇,唐荻,赵志毅,等.热连轧精轧机组温度模型的改进.北京科技大学学报,2002,24(5):547)
[4] Song Y,Jing F W,Yin S,et al. High-precision coiling temperature control model for heavy gauge strip steel. Chin J Eng,2015,37(1):106(宋勇,荆丰伟,殷实,等.厚规格热轧带钢高精度卷取温度控制模型.工程科学学报,2015,37(1):106)
[5] Fu X,Chen S X,Zou J,et al. Hybrid temperature model for hot strip in finishing stands. J Zhejiang Univ Eng Sci,2008,42(2):219(傅新,陈水宣,邹俊,等.热轧带钢精轧过程的混合温度模型.浙江大学学报(工学版),2008,42(2):219)
[6] Zhang B,Guo Q,Zhang F,et al. Temperature optimization and control strategy of hot rolled in finishing. Control Eng China,2014,21(3):352(张博,郭强,张飞,等.精轧温度模型优化算法与控制策略的研究.控制工程,2014,21(3):352)
[7] Serajzadeh S. Prediction of temperature variations and kinetics of austenite phase change on the run-out table. Mater Sci Eng A,2006,421(1-2):260
[8] Fischer F D,Schreiner W E,Werner E A,et al. The temperature and stress fields developing in rolls during hot rolling. J Mater Process Technol,2004,150(3):263
[9] Stepashin A M,Kondrat'ev A A,Shleining L I. Effect of the finishing temperature in rolling operations on the striation of strip for side members. Metallurgist,2003,47(1-2):88
[10] Wang S J,Xu J Z. Effects of acceleration rate on finishing temperature of hot rolling strip. Hot Work Technol,2012,41(7):81(王淑君,徐建忠.加速度对热带终轧温度的影响.热加工工艺,2012,41(7):81)
[11] Gong D Y,Xu J Z,Liu X H,et al. Piecewise micro tracking control of finishing temperature during continuous strip hot rolling. J Northeast Univ Nat Sci,2006,27(8):883(龚殿尧,徐建忠,刘相华,等.热连轧带钢终轧温度控制控制样本跟踪策略.东北大学学报(自然科学版),2006,27(8):883)
[12] Shi L X,Wang S Z,Xu W,et al. Control and optimization of strip finishing rolling temperature. Steel Roll,2013,30(4):61(时连兴,王淑志,徐伟,等.热轧带钢终轧温度控制与优化.轧钢,2013,30(4):61)
[13] Wang H Y,Gao L,Zhao Q,et al. Study and application of strip finishing temperature control model in hot strip mills. Control Eng China,2018,25(4):677(王海玉,高雷,赵强,等.热轧带钢终轧温度控制模型的研究与应用.控制工程,2018,25(4):677)
[14] Lu Z J,Wei Z L. Decomposition method for quadratic programming problem with box constraints. Math Numer Sin,1999,21(4):475(卢战杰,魏紫銮.边界约束二次规划问题的分解方法.计算数学,1999,21(4):475)
[15] Xie Z,Li J P,Chen Z. Theory and Methods of Nonlinear Optimization. Beijing:Higher Education Press,2010(谢政,李建平,陈挚.非线性最优化理论与方法.北京:高等教育出版社,2010)