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  • 标题:User Friendly Robust MPC Tuning of Uncertain Paper-Making Processes ∗
  • 本地全文:下载
  • 作者:Ning He ; Dawei Shi ; Jiadong Wang
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2015
  • 卷号:48
  • 期号:8
  • 页码:1021-1026
  • DOI:10.1016/j.ifacol.2015.09.102
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractA robust tuning problem for a two-degree-of-freedom model predictive controller is explored for single-input, single-output uncertain paper-making processes. The objective is to achieve satisfactory closed-loop responses, as measured by overshoots, settling times and output oscillations with user-specified parametric uncertainties. As the output variation cannot be easily specified by the end users, two methods are proposed to connect a total variation specification to user-friendly indices, based on which two algorithms are designed to solve the tuning problem. An application to a process extracted from the pulp and paper industry is employed to verify the effectiveness of the proposed algorithms.
  • 关键词:KeywordsController tuningModel predictive controlRobust performancePulp and paperTotal variation
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