Advanced

Parameter Optimization of a Paper Machine Model

Åkesson, Johan LU and Ekvall, Jenny (2006) Reglermöte 2006
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... (More)
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. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to conference
publication status
published
subject
keywords
Large scale dynamic optimization, Parameter optimization
conference name
Reglermöte 2006
language
English
LU publication?
yes
id
21b56611-2de3-4ef0-ac6d-3d4619eb1ce5 (old id 931929)
date added to LUP
2008-01-16 09:26:26
date last changed
2016-07-14 10:07:42
@misc{21b56611-2de3-4ef0-ac6d-3d4619eb1ce5,
  abstract     = {In this paper, the problem of calibrating a paper machine dryer<br/><br>
 section model to measurement data is treated. The model, which is<br/><br>
 dynamic, nonlinear and of large scale, is implemented in Modelica<br/><br>
 and Dymola. The purpose of the model is to evaluate, in simulation,<br/><br>
 new control structures before application to the plant. This<br/><br>
 approach requires a well calibrated model in order for simulation<br/><br>
 results to be valid also on the real plant. In this paper, the<br/><br>
 problem is addressed by parameter optimization. A custom application<br/><br>
 integrating code generated by Dymola and packages for numerical<br/><br>
 optimization has been developed. Results are satisfactory,<br/><br>
 in that the mismatch between the calibrated model response and<br/><br>
 measured data is small.},
  author       = {Åkesson, Johan and Ekvall, Jenny},
  keyword      = {Large scale dynamic optimization,Parameter optimization},
  language     = {eng},
  title        = {Parameter Optimization of a Paper Machine Model},
  year         = {2006},
}