Identification and optimization for hydraulic roll gap control in strip rolling mill

作     者：孙杰 陈树宗 韩欢欢 陈兴华 陈秋捷 张殿华 SUN Jie;CHEN Shu-zong;HAN Huan-huan;CHEN Xing-hua;CHEN Qiu-jie;ZHANG Dian-hua

作者机构：State Key Laboratory of Rolling and Automation (Northeastern University) 

出 版 物：《Journal of Central South University》 (中南大学学报（英文版）)

年 卷 期：2015年第22卷第6期

页      面：2183-2191页

核心收录：

学科分类：080503[工学-材料加工工程] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0802[工学-机械工程] 080201[工学-机械制造及其自动化] 

基　　金：Project(51074051)supported by the National Natural Science Foundation of China Project(20131033)supported by the Ph D Start-up Fund of Natural Science Foundation of Liaoning Province,China Project(N140704001)supported by the Fundamental Research Funds for the Central Universities,China 

主　　题：hydraulic roll gap control modeling system identification generalized predictive control 

摘      要：In order to improve the control performance of strip rolling mill, theoretical model of the hydraulic gap control(HGC) system was established. HGC system offline identification scheme was designed for a tandem cold strip mill, the system model parameters were identified by ARX model, and the identified model was verified. Taking the offline identified parameters as the initial values, online identification using recursive least square was carried out with model parameters changing. For the purpose of improving system robustness and decreasing the sensitivity due to model errors, the HGC system based on generalized predictive control(GPC) was designed, and simulation experiments for traditional controller and GPC controller were conducted. The results show that both controllers acquire good control effect with model matching. When the model mismatches, for the traditional controller, the overshot will increase to 76.7% and the rising time will increase to 165.7 ms, which cannot be accepted by HGC system; for the GPC controller, the overshot is less than 8.5%, and the rising time is less than 26 ms in any case.