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Dynamic simulators for process control and optimization as well as for operator training in pulp and paper industry
Mälardalen University, Department of Public Technology. (Load and energy management group)ORCID iD: 0000-0002-7233-6916
Mälardalen University, Department of Public Technology. (Load and energy management group)ORCID iD: 0000-0003-4589-7045
ABB Industry, Västerås, Sweden.
2002 (English)In: Proceedings of the 43rd Conference on Simulation and Modelling: SIMS 2002, 2002Conference paper, Published paper (Other (popular science, discussion, etc.))
Abstract [en]

By using a dynamic physical model, that is adapted to real process data, robust mathematical process models can be created. By doing this it is possible to build in process know how from many different sources, and also to include factors, that are not easy to measure. From the dynamic model a training simulator can be made. From the dynamic model it may also be possible to do a model reduction to get an MPC, a Model Predictive Control. Data reconciliation is needed, to keep control of the measurements of all kind. A decision support system keeps control over the process status, to support operators. The production is also optimized at several levels. These functions may also be achieved by using principally the same mathematical models and algorithms.

Place, publisher, year, edition, pages
2002.
Keyword [en]
Dynamic simulators, operator training, process control
National Category
Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:mdh:diva-3183ISBN: 952-5183-18-1 (print)OAI: oai:DiVA.org:mdh-3183DiVA: diva2:115847
Conference
43rd Conference on Simulation and Modelling (SIMS 2002), September 26-27, Oulu, Finland
Available from: 2006-05-17 Created: 2006-05-17 Last updated: 2016-01-11Bibliographically approved

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