Modelling and optimisation of a refining process for fibre board production

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• 作者：Runkler ; T.A. ; Gerstorfer ; E. ; Schlang ; M. ; Jü ; nnemann ; E. ; Hollatz ; J.
• 关键词：Fuzzy models ; Industrial production systems ; Paper industry ; Decision support systems ; Multiple criterion optimisation ; Production costs
• 刊名：Control Engineering Practice
• 出版年：2003
• 出版时间：November, 2003
• 年：2003
• 卷：11
• 期：11
• 页码：1229-1241
• 全文大小：445 K

文摘

For many processes in the pulp and paper industry there exist no reliable analytical models, but qualitative linguistic expert knowledge and data from on-line and laboratory measurements. Knowledge about the wood chip refiner in fibre board production is used to formulate the if-parts of Takagi–Sugeno fuzzy rules. Laboratory and on-line data are then used to fit the then-parts of these rules. The rule-based model serves as a soft sensor that enables the operators to manually control and optimise this process. An optimisation module based on sequential quadratic programming and/or simulated annealing automates this process. All modules are integrated in the commercial Siemens tool WinCC.