Decoupling and internal model control of non-square flatness control system and their applications
SONG Ming-ming1,2, LIU Hong-min1, WANG Dong-cheng1, XU Hui2, LIU Xiao-li2
1. National Engineering Research Center for Equipment and Technology of Cold Rolling Strip, Yanshan University, Qinhuangdao 066004, Hebei, China; 2. College of Mechanical and Equipment Engineering, Hebei University of Engineering, Handan 056001, Hebei, China
Abstract:In order to develop the flatness control system of 1 420 mm six high UCM cold rolling mill which is not equipped with flatness closed-loop automatic control,a flatness automatic control system is built based on component flatness decoupling control with the development environment of Labview,and the flatness automatic control of the rolling mill is realized. Through the calculation and analysis of flatness adjustment, recognized that the roll tilting,and the non-symmetric work roll bending can effectively adjust the primary and cubic flatness components,the symmetric work roll bending,the symmetric intermediate roll bending and the intermediate roll shifting can effectively adjust the quadratic and quartic flatness components,and it is difficult to adjust the sixtic flatness components,so that the flatness control system can be determined to be a non-square control system with five inputs and four outputs,and unstable poles will appear in the process of non-square control system decoupling. A decoupling method is proposed to decompose unstable poles,which solves the unstable problem of non-square flatness control system decoupling. Using the non-square relative gain theory,the five inputs four outputs non-square control system is decomposed into a two inputs two outputs square system and a three inputs two outputs non-square system,simplifying the structure of the flatness control system. Because the installation position of the shape meter is a certain distance from the roll gap,the flatness control system has the problem of time delay,which increases the difficulty of controller design. Based on the combination of internal model control and Smith predictive control,a flatness IMC-Smith control model is proposed,which simplifies the controller design,solves the problem of the time delay of control system,and realizes the engineering application of non-square flatness control system. The industrial application shows that the system has reliable performance and can meet the requirements of on-site online rolling. The flatness after rolling can meet the requirements of subsequent processes. The flatness control effect is significantly improved compared with that of manual operation.
宋明明, 刘宏民, 王东城, 徐辉, 刘晓立. 非方板形控制系统解耦及内模控制与应用[J]. 钢铁, 2023, 58(5): 92-103.
SONG Ming-ming, LIU Hong-min, WANG Dong-cheng, XU Hui, LIU Xiao-li. Decoupling and internal model control of non-square flatness control system and their applications[J]. Iron and Steel, 2023, 58(5): 92-103.
[1] 李伯群,范璇,李伟红,等. 板形设定模型参数优化与控制技术应用[J]. 钢铁,2019,54(2):47.(LI Bo-qun,FAN Xuan,LI Wei-hong,et al. Parameter optimization of shape setting model and application of control technology[J]. Iron and Steel,2019,54(2):47.) [2] JIA Chun-yu,BAI Tao,SHAN Xiu-ying,et al. Cloud neural fuzzy PID hybrid integrated algorithm of flatness control[J]. Journal of Iron and Steel Research International,2014,21(6):559. [3] ZHANG Xiu-ling,ZHAO Liang,ZANG Jia-yin,et al. Flatness intelligent control based on T-S cloud inference neural network[J]. ISIJ International,2014,54(11):2608. [4] Ataka M. Rolling technology and theory for the last 100 years:The contribution of theory to innovation in strip rolling Technology[J]. Tetsu-to-Hagane,2014,100(1):94. [5] 张云鹏,王长松,张清东. 基于效应函数的冷轧机板形闭环控制策略[J]. 北京科技大学学报,1999,35(2):195.(ZHANG Yun-peng,WANG Chang-song,ZHANG Qing-dong. Flatness control strategy on cold mill based on efficiency function[J]. Journal of University of Science and Technology Beijing,1999,35(2):195.) [6] WANG Peng-fei,YAN Zhao-peng,LI Xu,et al. Edge drop control of cold rolled silicon steel strip based on model predictive control[J]. Journal of Manufacturing Processes,2022,82(10):88. [7] 宋纯宁,曹建国,王雷雷,等. 六辊冷连轧机电工钢矩形断面控制弯辊力模型[J]. 哈尔滨工业大学学报,2022,54(7):143.(SONG Chun-ning,CAO Jian-guo,WANG Lei-lei,et al. Model of rectangular section control roll bending force for electrical steel in six-high cold tandem cold mill[J]. Journal of Harbin Institute of Technology,2022,54(7):143.) [8] 曹建国,江军,邱澜,等. 新一代高技术宽带钢冷轧机全机组一体化板形控制[J]. 中南大学学报(自然科学版),2019,50(7):1584.(CAO Jian-guo,JIANG Jun,QIU Lan,et al. High precision integrated profile and flatness control for new-generation high-tech wide strip cold rolling mills[J]. Journal of Central South University(Natural Science),2019,50(7):1584.) [9] 尚飞,李申光,李艳琳. 辊形配置对辊间接触压力与板形调控影响分析[J]. 中国冶金,2022,32(8):12.(SHANG Fei,LI Shen-guang,LI Yan-lin. Influence analysis of roll configuration on contact pressure and flatness control[J]. China Metallurgy,2022,32(8):12.) [10] 杨喜恩,王莹,闫青华,等.极薄规格冷轧带钢板形控制研究[J]. 轧钢,2022,39(2):118.(YANG Xi-en,WANG Ying,YAN Qing-hua,et al. Research on flatness control of ultra-thin cold rolled sheet[J]. Steel Rolling,2022,39(2):118.) [11] 丁肇印,丁成砚,孙杰,等. 基于类别特征梯度提升的冷轧带钢板形预测模型[J]. 轧钢,2022,39(6):99.(DING Zhao-yin,DING Cheng-yan,SUN Jie,et al. Prediction model of cold rolled strip flatness based on CatBoost[J]. Steel Rolling,2022,39(6):99.) [12] 宋沙沙,桑圣峰,闻杨,等. 1 420 mm酸轧机组带钢板形分析与控制研究[J]. 轧钢,2022,39(5):108.(SONG Sha-sha,SANG Sheng-feng,WEN Yang,et al. Analysis and control research on strip shape of 1 420 mm PL-TCM[J]. Steel Rolling,2022,39(5):108.) [13] LIU Hong-min,HE Hai-tao,SHAN Xiu-ying,et al. Flatness control based on dynamic effective matrix for cold strip mills[J]. Chinese Journal of Mechanical Engineering,2009,22(2):41. [14] LIU Hong-min,ZHANG Xiu-ling,WANG Ying-rui. Transfer matrix method of flatness control for strip mills[J]. Journal of Materials Processing Technology,2005,166(2):237. [15] 杨利坡,张哲,王东城,等. 冷轧带钢板形控制机理智能协同调控模型[J]. 钢铁,2017,52(7):52.(YANG Li-po,ZHANG Zhe,WANG Dong-cheng,et al. Mechanism-intelligent coordination shape control model of cold strip[J]. Iron and Steel,2017,52(7):52.) [16] 何海涛. 宽带钢冷轧机板形在线控制智能模型的研究与应用[D]. 秦皇岛:燕山大学,2005.(HE Hai-tao. Research on Flatness On-Line Intelligent Control for the Wide Strip Steel Cold Mill[D]. Qinhuangdao:Yanshan University,2005.) [17] 单修迎. 冷轧带钢板形控制的矩阵模型研究[D]. 秦皇岛:燕山大学,2011.(SHAN Xiu-ying. Research on Matrix Model of Shape Control for Cold Strip Mills[D]. Qinhuangdao:Yanshan University,2011.) [18] SONG Ming-ming,LIU Hong-min,WANG Dong-cheng,et al. decoupling strategy and dynamic decoupling model of flatness control in cold rolling strip[J]. ISIJ International,2020,60(2):286. [19] 张云帆,李东海,老大中. 基于TC的多入多出系统输入相对增益矩阵配对法[C]//第30届中国控制会议. 烟台:中国自动化学会控制理论专业委员会,2011:3803.(ZHANG Yun-fan,LI Dong-hai,LAO Da-zhong. Input relative gain matrix pairing method for MIMO system based on TC[C]//Proceeding of the 30th Chinese control conference. Yantai:Professional Committee of Control Theory of China Automation Society,2011:3803.) [20] WANG Dong-cheng,LIU Hong-min. A model coupling method for shape prediction[J]. Journal of Iron and Steel Research International,2012,19(2):22. [21] LIU Hong-min,SHAN Xiu-ying,JIA Chun-yu. Theory-intelligent dynamic matrix model of flatness control for cold rolled strips[J]. Journal of Iron and Steel Research International,2013,20(8):1. [22] WANG Peng-fei,PENG Yan,WANG Dong-cheng,et al. Flatness control strategy based on delay compensation for cold rolling mill[J]. Steel Research International,2017,88(2):1. [23] 金以慧. 过程控制[M]. 北京:清华大学出版社,1993.(JIN Yi-hui. Process Control[M]. Beijing:Tsinghua University Press,1993.) [24] LIU Tao,ZHANG Wei-dong,GAO Fu-rong. Analytical decoupling control strategy using a unity feedback control structure for MIMO processes with time delays[J]. Journal of Process Control,2007,17(2):173. [25] Pothin R. Disturbance decoupling for a class of nonlinear MIMO systems by static measurement feedback[J]. Systems and Control Letters,2001,43(2):111. [26] Arvo Kaldmäe,ülle Kotta. Disturbance decoupling by measurement feedback[J]. IFAC Proceedings Volumes,2014,47(3):7735. [27] WANG Jun,WANG Yan,SHAO Hui-he. Performance improvement of VAV air conditioning control system through diagonal matrix decoupling and Lonworks technology[J]. Energy and Buildings,2005,37(9):911. [28] 王钦若,邓九英,张慧,等. 对称极点配置的不稳定时滞系统优化控制[J]. 控制工程,2012,19(s0):1.(WANG Qin-ruo,DENG Jiu-ying,ZHANG Hui,et al. Twice optimal control unstable system with time-delay using symmetric pole assignment[J]. Control Engineering of China,2012,19(s0):1.) [29] 常峰,旷文珍,陆帅. 内模控制在温度控制传感器系统中的应用[J]. 传感器与微系统,2016,35(5):5.(CHANG Feng,KUANG Wen-zhen,LU Shuai. Application of internal model control in temperature control sensor system[J]. Transducer and Microsystem Technologies,2016,35(5):5.) [30] Manjusharmila N,Srihari M,Nivethithadevi M. Comparative study on tuning methodsfor siso system[J]. International Journal of Advanced Research,2017,5(3):1381. [31] 白建云,尹二新,曹晓玲,等. 变滤波器参数的内模控制在炉内脱硫系统中的应用[J]. 自动化技术与应用,2015,34(2):13.(BAI Jian-yun,YIN Er-xin,CAO Xiao-ling,et al. Application of variable filter parameters internal model control in the furnace desulfurization system[J]. Techniques of Automation and Application,2015,34(2):13.) [32] 张涛,余海涛. 基于改进内模控制的永磁同步电机电流环设计[J]. 电机与控制应用,2017,44(12):1.(ZHANG Tao,YU Hai-tao. Design of improved internal mode control for current loop of permanent magnet synchronous motor[J]. Electric Machines and Control Application,2017,44(12):1.)