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  • 标题:Valve Stiction Model Estimation in Closed-loop Operation
  • 本地全文:下载
  • 作者:Man Xiong ; Yucai Zhu
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:1188-1193
  • DOI:10.1016/j.ifacol.2020.12.1333
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe estimation of valve stiction model is studied. In industrial applications, valve outputs are often not available, the stiction nonlinear block appears before a linear dynamic block which is operation in a closed-loop system. By parameterizing the valve stiction model as a form of cubic splines, an identification method is proposed using a relaxation iteration scheme. Parameter estimation for the linear part is accomplished through a two-stage procedure. Firstly, an unbiased estimation is obtained by the high-order ARX (AutoRegressive exogenous) model. Then the ARX model is reduced to a Box-Jenkins model. The consistency of the method is established. Simulation data sets and real operation data sets are used to illustrate the method.
  • 关键词:KeywordsValve stictionHammerstein modelIdentificationRelaxation
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