Parameter Optimization of a Paper Machine Model
(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:
https://lup.lub.lu.se/record/931929
- author
- Åkesson, Johan LU and Ekvall, Jenny
- organization
- publishing date
- 2006
- type
- Contribution to conference
- publication status
- published
- subject
- keywords
- Large scale dynamic optimization, Parameter optimization
- conference name
- Reglermöte 2006
- conference location
- Stockholm, Sweden
- conference dates
- 2006-05-30 - 2006-05-31
- language
- English
- LU publication?
- yes
- id
- 21b56611-2de3-4ef0-ac6d-3d4619eb1ce5 (old id 931929)
- date added to LUP
- 2016-04-04 13:06:49
- date last changed
- 2018-11-21 21:12:16
@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}},
keywords = {{Large scale dynamic optimization; Parameter optimization}},
language = {{eng}},
title = {{Parameter Optimization of a Paper Machine Model}},
url = {{https://lup.lub.lu.se/search/files/6054605/8864894.pdf}},
year = {{2006}},
}