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热卷箱变论域模糊自适应PI开卷压力控制
  • ISSN号:1000-7059
  • 期刊名称:《冶金自动化》
  • 时间:0
  • 分类:TP18[自动化与计算机技术—控制科学与工程;自动化与计算机技术—控制理论与控制工程] TF777[冶金工程—钢铁冶金]
  • 作者机构:[1]State Key Laboratory of Rolling and Automation (Northeastern University), Shenyang 110819, China
  • 相关基金:Project(51074051) supported by the National Natural Science Foundation of China; Project(20131033) supported by the PhD Start-up Fund of Natural Science Foundation of Liaoning Province, China; Project(N14070400!) supported by the Fundamental Research Funds for the Central Universities, China
中文摘要:

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.

英文摘要:

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.

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期刊信息
  • 《冶金自动化》
  • 中国科技核心期刊
  • 主管单位:中国钢铁工业协会
  • 主办单位:冶金自动化研究设计院
  • 主编:沈黎颖
  • 地址:北京西四环南路72号
  • 邮编:100071
  • 邮箱:yjzdh@tom.com
  • 电话:010-63841318
  • 国际标准刊号:ISSN:1000-7059
  • 国内统一刊号:ISSN:11-2067/TF
  • 邮发代号:2-321
  • 获奖情况:
  • 全国优秀科技期刊,全国中文核心期刊,中国科技论文统计源期刊,中国期刊方阵“双百”期刊
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,波兰哥白尼索引,美国剑桥科学文摘,英国科学文摘数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2000版)
  • 被引量:4525