Parameter Optimization of a Paper Machine Model
Författare
Summary, in English
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.
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.
Avdelning/ar
Publiceringsår
2006
Språk
Engelska
Fulltext
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Dokumenttyp
Konferensbidrag
Ämne
- Control Engineering
Nyckelord
- Large scale dynamic optimization
- Parameter optimization
Conference name
Reglermöte 2006
Conference date
2006-05-30 - 2006-05-31
Conference place
Stockholm, Sweden
Status
Published