带钢连续热镀锌镀层厚度控制
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摘要
带钢连续热镀锌镀层厚度控制过程具有多变量耦合、非线性、时变大滞后等特性,难以建模和自动控制。目前国内生产线多采用手动控制,存在镀层厚度偏差大、调节时间长、锌原料浪费等问题。在分析带钢连续热镀锌生产工艺的基础上,提出了一种工艺设定和智能控制相结合的控制方法。针对控制对象多变量耦合、非线性等问题,制定刀距、刀高工艺设定值表,并在镀层厚度机理模型的基础上建立刀压配方数据库,将多变量系统简化为工作点上单变量线性时滞系统。针对镀层厚度检测纯滞后问题,应用迭代学习控制算法去逼近理想刀压控制量,消除镀层厚度偏差。采用Win AC软PLC开发镀层厚度控制系统,实现了镀层厚度自动控制。应用效果表明,控制系统具有良好的控制性能,缩短了镀层厚度调节时间,提高了镀层厚度精度。
The thickness control process of strip continuous hot dip galvanizing has multiple variable coupling,nonlinear and time delay,which is difficult to model and control. At present,the domestic production line adopts manual control,and there are problems such as large thickness deviation,long adjustment time and waste of zinc raw materials.Based on the analysis of continuous hot-dip galvanizing production process,a control method combining process setting and intelligent control was presented. For the multi-variable coupling and non-linearity of the control object,the table of knife-blade and knife-height setting is established. Based on the mechanism model of the coating thickness,a database of knife-pressure formula is established and the multivariable system is simplified to a single-variable linear time-delay system. To deal with the problem of pure lag in coating thickness measurement,an iterative learning control algorithm is applied to approach the ideal knife pressure control to eliminate the coating thickness deviation. The coating thickness control system was developed by using Win AC soft PLC,and the coating thickness was automatically controlled. The application results show that the control system has good control performance,shorten the adjustment time and improve the coating thickness precision.
The thickness control process of strip continuous hot dip galvanizing has multiple variable coupling,nonlinear and time delay,which is difficult to model and control. At present,the domestic production line adopts manual control,and there are problems such as large thickness deviation,long adjustment time and waste of zinc raw materials.Based on the analysis of continuous hot-dip galvanizing production process,a control method combining process setting and intelligent control was presented. For the multi-variable coupling and non-linearity of the control object,the table of knife-blade and knife-height setting is established. Based on the mechanism model of the coating thickness,a database of knife-pressure formula is established and the multivariable system is simplified to a single-variable linear time-delay system. To deal with the problem of pure lag in coating thickness measurement,an iterative learning control algorithm is applied to approach the ideal knife pressure control to eliminate the coating thickness deviation. The coating thickness control system was developed by using Win AC soft PLC,and the coating thickness was automatically controlled. The application results show that the control system has good control performance,shorten the adjustment time and improve the coating thickness precision.
引文
[1]李九岭.带钢连续热镀锌[M].3版.北京:冶金工业出版社,2010.(LI Jiu-ling.Continuous Hot Dip Galvanizing Line of Steel Strip[M].3rd ed.Beijing:Metallurgical Industry Press,2010.)
[2]张岩,邵富群,王军生,等.连续热镀锌层厚度自适应控制[J].东北大学学报:自然科学版,2011,32(11):1525.(ZHANG Yan,SHAO Fu-qun,WANG Jun-sheng,et al.Adaptive control of coating weight for continuous hot-dip galvanizing[J].Journal of Northeastern University:Natural Science,2011,32(11):1525.)
[3]费静,张岩,王军生,等.冷轧热镀锌镀层厚度控制系统的开发与应用[J].钢铁,2016,51(5):57.(FEI Jing,ZHANG Yan,WANG Jun-sheng,et al.Development and application of coating thickness control system for cold rolling continuous galvanizing line[J].Iron and Steel,2016,51(5):57.)
[4]Markward S W,Lu Y Z.Development and application of an integrated neural system for an HDCL[J].IEEE Transaction on Neural Networks,1997,8(6):1328.
[5]Watanable T,Narazaki H,Uchiyama Y.An adaptive fuzzy modeling for continuous galvanizing line[J].Proc of IEEE Int Conf on Computational Cybernetic and Simulation,1997,1(1):663.
[6]姚刚霞.镀层厚度系统DMC串级控制仿真研究[J].微计算机信息(测控自动化),2007,23(25):244.(YAO Gang-xia.Simulation researching on dynamic matrix predictive control for Zn coating control[J].Microcomputer Information(Measurement and Control),2007,23(25):244.)
[7]张丹,叶校瑛,任秋红,等.双传感器表面检测系统在镀锌线上的应用[J].中国冶金,2017,27(9):48.(ZHANG Dan,YE Xiao-ying,REN Qiu-hong,et al.Application of dual sensor surface detection system in hot dip galvanized line[J].China Metallurgy,2017,27(9):48.)
[8]陈玉鑫,朱国森,王莉,等.FD级镀锌钢卷的表面质量控制[J].中国冶金,2016,26(6):28.(CHEN Yu-xin,ZHU Guosen,WANG Li,et al.Surface quality control of FD-class galvanized sheet[J].China Metallurgy,2016,26(6):28.)
[9]郑永春,岑耀东,田荣彬.带钢连续热镀锌层厚度控制技术的研究[J].电镀与环保,2012,32(6):18.(ZHENG Yong-chun,CEN Yao-dong,TIAN Rong-bin.A research on thickness control technology for continuous hot dip galvanized zinc layer on strip steel[J].Electroplating and Pollution Control,2012,32(6):18.)
[10]李培兴,赵红阳,张红梅,等.连续热镀锌楔形气刀对镀层均匀性的影响[J].钢铁研究,2014,42(2):43.(LI Pei-xing,ZHAO Hong-yang,ZHANG Hong-mei,et al.Effect of wedge air knife on uniformity of zinc coating in continuous hot-dip galvanizing process[J].Research on Iron and Steel,2014,42(2):43.)
[11]Lacanette D,Gosset A,Vincent S,et al.Macroscopic analysis of gas-jet wiping:numerical simulation and experimental approach[J].Physics of Fluids,2006,18(4):1.
[12]Myrillasa K,Gosseta A,Rambauda P,et al.Technique for delaying splashing in jet wiping process[J].Chemical Engineering and Processing,2011(50):466.
[13]张清东,黄河,常铁柱.带钢连续热镀锌层厚度预测模型研究[J].中国机械工程,2009,20(14):1746.(ZHANG Qing-dong,HUANG He,CHANG Tie-zhu.Prediction model of coating thickness in hot-dip galvanizing[J].China Mechanical Engineering,2009,20(14):1746.)
[14]杨胜跃,樊晓平,罗安.基于经验数据库的迭代学习初始控制输入量的确定[J].控制与决策,2004,19(1):27.(Experience based acquisition of the initial value for the iterative learning control inputs[J].Control and Design,2004,19(1):27.)
[15]孙明轩.不确定时滞系统的迭代学习控制算法(I)[J].西安工业学院学报,1997,17(4):259.(Iterative learning control algorithms for uncertain time-delay systems(I)[J].Journal of Xi'an Institute of Technology,1997,17(4):259.)
[16]秦大伟,张岩,王军生,等.热镀锌线镀层厚度自动控制系统研究[J].鞍钢技术,2014,389(5):27.(QIN Da-wei,ZHANG Yan,WANG Jun-sheng,et al.Study on automatic control system for coating thickness in hot-dip galvanizing line[J].Angang Technology,2014,389(5):27.)
[2]张岩,邵富群,王军生,等.连续热镀锌层厚度自适应控制[J].东北大学学报:自然科学版,2011,32(11):1525.(ZHANG Yan,SHAO Fu-qun,WANG Jun-sheng,et al.Adaptive control of coating weight for continuous hot-dip galvanizing[J].Journal of Northeastern University:Natural Science,2011,32(11):1525.)
[3]费静,张岩,王军生,等.冷轧热镀锌镀层厚度控制系统的开发与应用[J].钢铁,2016,51(5):57.(FEI Jing,ZHANG Yan,WANG Jun-sheng,et al.Development and application of coating thickness control system for cold rolling continuous galvanizing line[J].Iron and Steel,2016,51(5):57.)
[4]Markward S W,Lu Y Z.Development and application of an integrated neural system for an HDCL[J].IEEE Transaction on Neural Networks,1997,8(6):1328.
[5]Watanable T,Narazaki H,Uchiyama Y.An adaptive fuzzy modeling for continuous galvanizing line[J].Proc of IEEE Int Conf on Computational Cybernetic and Simulation,1997,1(1):663.
[6]姚刚霞.镀层厚度系统DMC串级控制仿真研究[J].微计算机信息(测控自动化),2007,23(25):244.(YAO Gang-xia.Simulation researching on dynamic matrix predictive control for Zn coating control[J].Microcomputer Information(Measurement and Control),2007,23(25):244.)
[7]张丹,叶校瑛,任秋红,等.双传感器表面检测系统在镀锌线上的应用[J].中国冶金,2017,27(9):48.(ZHANG Dan,YE Xiao-ying,REN Qiu-hong,et al.Application of dual sensor surface detection system in hot dip galvanized line[J].China Metallurgy,2017,27(9):48.)
[8]陈玉鑫,朱国森,王莉,等.FD级镀锌钢卷的表面质量控制[J].中国冶金,2016,26(6):28.(CHEN Yu-xin,ZHU Guosen,WANG Li,et al.Surface quality control of FD-class galvanized sheet[J].China Metallurgy,2016,26(6):28.)
[9]郑永春,岑耀东,田荣彬.带钢连续热镀锌层厚度控制技术的研究[J].电镀与环保,2012,32(6):18.(ZHENG Yong-chun,CEN Yao-dong,TIAN Rong-bin.A research on thickness control technology for continuous hot dip galvanized zinc layer on strip steel[J].Electroplating and Pollution Control,2012,32(6):18.)
[10]李培兴,赵红阳,张红梅,等.连续热镀锌楔形气刀对镀层均匀性的影响[J].钢铁研究,2014,42(2):43.(LI Pei-xing,ZHAO Hong-yang,ZHANG Hong-mei,et al.Effect of wedge air knife on uniformity of zinc coating in continuous hot-dip galvanizing process[J].Research on Iron and Steel,2014,42(2):43.)
[11]Lacanette D,Gosset A,Vincent S,et al.Macroscopic analysis of gas-jet wiping:numerical simulation and experimental approach[J].Physics of Fluids,2006,18(4):1.
[12]Myrillasa K,Gosseta A,Rambauda P,et al.Technique for delaying splashing in jet wiping process[J].Chemical Engineering and Processing,2011(50):466.
[13]张清东,黄河,常铁柱.带钢连续热镀锌层厚度预测模型研究[J].中国机械工程,2009,20(14):1746.(ZHANG Qing-dong,HUANG He,CHANG Tie-zhu.Prediction model of coating thickness in hot-dip galvanizing[J].China Mechanical Engineering,2009,20(14):1746.)
[14]杨胜跃,樊晓平,罗安.基于经验数据库的迭代学习初始控制输入量的确定[J].控制与决策,2004,19(1):27.(Experience based acquisition of the initial value for the iterative learning control inputs[J].Control and Design,2004,19(1):27.)
[15]孙明轩.不确定时滞系统的迭代学习控制算法(I)[J].西安工业学院学报,1997,17(4):259.(Iterative learning control algorithms for uncertain time-delay systems(I)[J].Journal of Xi'an Institute of Technology,1997,17(4):259.)
[16]秦大伟,张岩,王军生,等.热镀锌线镀层厚度自动控制系统研究[J].鞍钢技术,2014,389(5):27.(QIN Da-wei,ZHANG Yan,WANG Jun-sheng,et al.Study on automatic control system for coating thickness in hot-dip galvanizing line[J].Angang Technology,2014,389(5):27.)