Parameter Optimization of a Paper Machine Model

Forskningsoutput: KonferensbidragKonferenspaper, ej i proceeding/ej förlagsutgivet

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.

Detaljer

Författare
  • Johan Åkesson
  • Jenny Ekvall
Enheter & grupper
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Reglerteknik

Nyckelord

Originalspråkengelska
StatusPublished - 2006
PublikationskategoriForskning
Peer review utfördJa
EvenemangReglermöte 2006 - Stockholm, Sverige
Varaktighet: 2006 maj 302006 maj 31

Konferens

KonferensReglermöte 2006
LandSverige
OrtStockholm
Period2006/05/302006/05/31

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