Model-Based Optimizing Control and Estimation Using Modelica Model
This paper reports on experiences from case studies in using Modelica/Dymola models interfaced to control and optimization software, as process models in real time process control applications. Possible applications of the integrated models are in state- and parameter estimation and nonlinear model...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Norwegian Society of Automatic Control
2010-07-01
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| Series: | Modeling, Identification and Control |
| Subjects: | |
| Online Access: | http://www.mic-journal.no/PDF/2010/MIC-2010-3-3.pdf |
| _version_ | 1818677863550812160 |
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| author | L. Imsland P. Kittilsen T.S. Schei |
| author_facet | L. Imsland P. Kittilsen T.S. Schei |
| author_sort | L. Imsland |
| collection | DOAJ |
| description | This paper reports on experiences from case studies in using Modelica/Dymola models interfaced to control and optimization software, as process models in real time process control applications. Possible applications of the integrated models are in state- and parameter estimation and nonlinear model predictive control. It was found that this approach is clearly possible, providing many advantages over modeling in low-level programming languages. However, some effort is required in making the Modelica models accessible to NMPC software. |
| first_indexed | 2024-12-17T09:06:08Z |
| format | Article |
| id | doaj.art-b2f7fbce3bd54790a476008d486bef8a |
| institution | Directory Open Access Journal |
| issn | 0332-7353 1890-1328 |
| language | English |
| last_indexed | 2024-12-17T09:06:08Z |
| publishDate | 2010-07-01 |
| publisher | Norwegian Society of Automatic Control |
| record_format | Article |
| series | Modeling, Identification and Control |
| spelling | doaj.art-b2f7fbce3bd54790a476008d486bef8a2022-12-21T21:55:29ZengNorwegian Society of Automatic ControlModeling, Identification and Control0332-73531890-13282010-07-0131310712110.4173/mic.2010.3.3Model-Based Optimizing Control and Estimation Using Modelica ModelL. ImslandP. KittilsenT.S. ScheiThis paper reports on experiences from case studies in using Modelica/Dymola models interfaced to control and optimization software, as process models in real time process control applications. Possible applications of the integrated models are in state- and parameter estimation and nonlinear model predictive control. It was found that this approach is clearly possible, providing many advantages over modeling in low-level programming languages. However, some effort is required in making the Modelica models accessible to NMPC software.http://www.mic-journal.no/PDF/2010/MIC-2010-3-3.pdfNon-linear model predictive controlstate estimationModelicaoffshore oil- and gas production |
| spellingShingle | L. Imsland P. Kittilsen T.S. Schei Model-Based Optimizing Control and Estimation Using Modelica Model Modeling, Identification and Control Non-linear model predictive control state estimation Modelica offshore oil- and gas production |
| title | Model-Based Optimizing Control and Estimation Using Modelica Model |
| title_full | Model-Based Optimizing Control and Estimation Using Modelica Model |
| title_fullStr | Model-Based Optimizing Control and Estimation Using Modelica Model |
| title_full_unstemmed | Model-Based Optimizing Control and Estimation Using Modelica Model |
| title_short | Model-Based Optimizing Control and Estimation Using Modelica Model |
| title_sort | model based optimizing control and estimation using modelica model |
| topic | Non-linear model predictive control state estimation Modelica offshore oil- and gas production |
| url | http://www.mic-journal.no/PDF/2010/MIC-2010-3-3.pdf |
| work_keys_str_mv | AT limsland modelbasedoptimizingcontrolandestimationusingmodelicamodel AT pkittilsen modelbasedoptimizingcontrolandestimationusingmodelicamodel AT tsschei modelbasedoptimizingcontrolandestimationusingmodelicamodel |