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Parameter Optimization of a Paper Machine Model

  • Johan Åkesson (Assistant Professor)
  • Jenny Ekvall
Publiceringsår: 2006
Språk: Engelska
Dokumenttyp: Konferensbidrag


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.



  • Control Engineering
  • Large scale dynamic optimization
  • Parameter optimization


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