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A Framework for Nonlinear Model-Predictive Control Using Object-Oriented Modeling with a Case Study in Power Plant Start-Up

Larsson, Per-Ola LU ; Casella, Francesco ; Magnusson, Fredrik LU ; Andersson, Joel ; Diehl, Moritz and Åkesson, Johan LU (2013) IEEE Multi-conference on Systems and Control, 2013 p.346-351
Abstract
In this paper, nonlinear model predictive control (NMPC) is applied to the start-up of a combined-cycle power plant. An object-oriented first-principle model library expressed in the high-level language Modelica has been written for the plant and used to set up the simulation and optimization models. The NMPC optimization problems are both encoded, using a high-level notation, and solved in the open-source framework JModelica.org. The results demonstrate the effectiveness of the framework and its high-level description. It bridges the gap between an intuitive physical modeling format and state of the art numerical optimization algorithms. Promising closed-loop control results are shown for plant start-up when the NMPC model contains... (More)
In this paper, nonlinear model predictive control (NMPC) is applied to the start-up of a combined-cycle power plant. An object-oriented first-principle model library expressed in the high-level language Modelica has been written for the plant and used to set up the simulation and optimization models. The NMPC optimization problems are both encoded, using a high-level notation, and solved in the open-source framework JModelica.org. The results demonstrate the effectiveness of the framework and its high-level description. It bridges the gap between an intuitive physical modeling format and state of the art numerical optimization algorithms. Promising closed-loop control results are shown for plant start-up when the NMPC model contains parametric errors and the simulation model, corresponding to the real plant, is subject to disturbances. (Less)
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author
; ; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
IEEE Conference on Computer Aided Control System Design (CACSD), 2013
pages
346 - 351
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE Multi-conference on Systems and Control, 2013
conference location
Hyderabad, India
conference dates
2013-08-27 - 2013-08-30
external identifiers
  • scopus:84893692239
ISBN
9781479915644
DOI
10.1109/CACSD.2013.6663487
project
Numerical and Symbolic Algorithms for Dynamic Optimization
LCCC
language
English
LU publication?
yes
id
f420a704-aee1-42cc-bb68-743e77efebed (old id 3972829)
date added to LUP
2016-04-04 10:01:16
date last changed
2024-04-13 10:43:08
@inproceedings{f420a704-aee1-42cc-bb68-743e77efebed,
  abstract     = {{In this paper, nonlinear model predictive control (NMPC) is applied to the start-up of a combined-cycle power plant. An object-oriented first-principle model library expressed in the high-level language Modelica has been written for the plant and used to set up the simulation and optimization models. The NMPC optimization problems are both encoded, using a high-level notation, and solved in the open-source framework JModelica.org. The results demonstrate the effectiveness of the framework and its high-level description. It bridges the gap between an intuitive physical modeling format and state of the art numerical optimization algorithms. Promising closed-loop control results are shown for plant start-up when the NMPC model contains parametric errors and the simulation model, corresponding to the real plant, is subject to disturbances.}},
  author       = {{Larsson, Per-Ola and Casella, Francesco and Magnusson, Fredrik and Andersson, Joel and Diehl, Moritz and Åkesson, Johan}},
  booktitle    = {{IEEE Conference on Computer Aided Control System Design (CACSD), 2013}},
  isbn         = {{9781479915644}},
  language     = {{eng}},
  pages        = {{346--351}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{A Framework for Nonlinear Model-Predictive Control Using Object-Oriented Modeling with a Case Study in Power Plant Start-Up}},
  url          = {{https://lup.lub.lu.se/search/files/5441483/4023238.pdf}},
  doi          = {{10.1109/CACSD.2013.6663487}},
  year         = {{2013}},
}