Parameter Optimization of a Paper Machine Model

Research output: Contribution to conferencePaper, not in proceeding

Abstract

In this paper, the problem of calibrating a paper machine dryer
section model to measurement data is treated. The model, which is
dynamic, nonlinear and of large scale, is implemented in Modelica
and Dymola. The purpose of the model is to evaluate, in simulation,
new control structures before application to the plant. This
approach requires a well calibrated model in order for simulation
results to be valid also on the real plant. In this paper, the
problem is addressed by parameter optimization. A custom application
integrating code generated by Dymola and packages for numerical
optimization has been developed. Results are satisfactory,
in that the mismatch between the calibrated model response and
measured data is small.

Details

Authors
  • Johan Åkesson
  • Jenny Ekvall
Organisations
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Control Engineering

Keywords

  • Large scale dynamic optimization, Parameter optimization
Original languageEnglish
Publication statusPublished - 2006
Publication categoryResearch
Peer-reviewedYes
EventReglermöte 2006 - Stockholm, Sweden
Duration: 2006 May 302006 May 31

Conference

ConferenceReglermöte 2006
CountrySweden
CityStockholm
Period2006/05/302006/05/31

Total downloads

No data available