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Parameter Optimization of a Paper Machine Model

På svenska

Author

  • Johan Åkesson
  • Jenny Ekvall

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.

Publishing year

2006

Language

English

Document type

Conference paper

Topic

  • Control Engineering

Keywords

  • Large scale dynamic optimization
  • Parameter optimization

Conference name

Reglermöte 2006

Conference date

2006-05-30 - 2006-05-31

Conference place

Stockholm, Sweden

Status

Published