• DocumentCode
    2812552
  • Title

    The Research of a New Soft-Sensing Method of Gauge

  • Author

    Yong-lei Zhao ; De-zhong Zheng

  • Author_Institution
    Meas. Technol. & Instrum. Key Lab. of Hebei Province, Yanshan Univ., Qinhuangdao, China
  • fYear
    2009
  • fDate
    1-3 Nov. 2009
  • Firstpage
    126
  • Lastpage
    129
  • Abstract
    A kind of soft-sensing method of gauge of strip based on fast generalized predictive control(GPC) algorithm is presented. Based on in-depth studying simplified calculating principle of fast GPC algorithm, and using fast algorithm´s characteristics of small calculation amount and fast calculating speed the method establishes the real-time online soft-sensing model of the strip gauge. Combining GPC´s advantages of multi-steps prediction, rolling horizon optimization and feedback compensation etc, it can better solves problems of measurement delay caused by gage installation location and measurement errors caused by tension time-varying and equipment tremor. The test results show that the method can real-time, on-line measures the exit thickness of rolling strip accurately, and provides reliable guarantee for optimized control of shape and gauge. It can also be used in the key parameters measurement of other complex industrial process.
  • Keywords
    gauges; industrial control; predictive control; rolling mills; time-varying systems; equipment tremor; generalized predictive control algorithm; shape optimal control; soft-sensing method; strip gauge control; time-varying tension; Delay; Feedback; Measurement errors; Optimization methods; Prediction algorithms; Shape control; Shape measurement; Strips; Testing; Thickness measurement; Automatic Gauge control; Generralized Predictive Control; Recursive Algorithm; Soft-sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networks and Intelligent Systems, 2009. ICINIS '09. Second International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-5557-7
  • Electronic_ISBN
    978-0-7695-3852-5
  • Type

    conf

  • DOI
    10.1109/ICINIS.2009.41
  • Filename
    5363088