A Framework for Nonlinear Model-Predictive Control Using Object-Oriented Modeling with a Case Study in Power Plant Start-Up
(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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3972829
- author
- Larsson, Per-Ola LU ; Casella, Francesco ; Magnusson, Fredrik LU ; Andersson, Joel ; Diehl, Moritz and Åkesson, Johan LU
- organization
- publishing date
- 2013
- 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}}, }