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A Modelica Library for Paper Machine Dryer Section Modeling - DryLib - and applications

Åkesson, Johan LU and Slätteke, Ola LU (2006) In Technical Reports TFRT-7615
Abstract
Following increased efforts during the last decade to formulate mathematical models for the paper drying process, this paper presents a Modelica library, DryLib, which enables users to rapidly develop complex models of paper machine dryer sections. In addition, parameter optimization, model reduction and moisture control by means of Non-Linear Model Predictive Control is treated. These applications have in common that they are based on numerical optimization schemes. Since the nature of the particular optimization problem dictates the requirements of the numerical code, the paper also serves as an illustration of the need for flexibility in terms of i) means for the user to express optimization problems, ii) and choice of numerical... (More)
Following increased efforts during the last decade to formulate mathematical models for the paper drying process, this paper presents a Modelica library, DryLib, which enables users to rapidly develop complex models of paper machine dryer sections. In addition, parameter optimization, model reduction and moisture control by means of Non-Linear Model Predictive Control is treated. These applications have in common that they are based on numerical optimization schemes. Since the nature of the particular optimization problem dictates the requirements of the numerical code, the paper also serves as an illustration of the need for flexibility in terms of i) means for the user to express optimization problems, ii) and choice of numerical algorithms. (Less)
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author
and
organization
publishing date
type
Book/Report
publication status
published
subject
keywords
paper machine, paper drying, parameter optimization, model reduction, non-linear MPC
in
Technical Reports TFRT-7615
publisher
Department of Automatic Control, Lund Institute of Technology, Lund University
ISSN
0280-5316
language
English
LU publication?
yes
id
3b0e42f7-07b4-45b0-be00-b269a051f4b6 (old id 8602607)
date added to LUP
2016-04-01 15:23:06
date last changed
2018-11-21 20:34:11
@techreport{3b0e42f7-07b4-45b0-be00-b269a051f4b6,
  abstract     = {Following increased efforts during the last decade to formulate mathematical models for the paper drying process, this paper presents a Modelica library, DryLib, which enables users to rapidly develop complex models of paper machine dryer sections. In addition, parameter optimization, model reduction and moisture control by means of Non-Linear Model Predictive Control is treated. These applications have in common that they are based on numerical optimization schemes. Since the nature of the particular optimization problem dictates the requirements of the numerical code, the paper also serves as an illustration of the need for flexibility in terms of i) means for the user to express optimization problems, ii) and choice of numerical algorithms.},
  author       = {Åkesson, Johan and Slätteke, Ola},
  institution  = {Department of Automatic Control, Lund Institute of Technology, Lund University},
  issn         = {0280-5316},
  language     = {eng},
  series       = {Technical Reports TFRT-7615},
  title        = {A Modelica Library for Paper Machine Dryer Section Modeling - DryLib - and applications},
  url          = {https://lup.lub.lu.se/search/files/4381114/8627267.pdf},
  year         = {2006},
}