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Parameter Optimization of a Paper Machine Model

  • Johan Åkesson
  • 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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