Model-Free Predictive Anti-Slug Control of a Well-Pipeline-Riser
Simplified linearized discrete time dynamic state space models are developed for a 3-phase well-pipeline-riser and tested together with a high fidelity dynamic model built in K-Spice and LedaFlow. In addition the Meglio pipeline-riser model is used as an example process. These models are developed f...
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Norwegian Society of Automatic Control
2016-01-01
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| Series: | Modeling, Identification and Control |
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| Online Access: | http://www.mic-journal.no/PDF/2016/MIC-2016-1-4.pdf |
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doaj-a35fc0fe69114db1be92beec3156910e2020-11-24T21:39:04ZengNorwegian Society of Automatic ControlModeling, Identification and Control0332-73531890-13282016-01-01371415210.4173/mic.2016.1.4Model-Free Predictive Anti-Slug Control of a Well-Pipeline-RiserChrister DalenDavid Di RuscioSimplified linearized discrete time dynamic state space models are developed for a 3-phase well-pipeline-riser and tested together with a high fidelity dynamic model built in K-Spice and LedaFlow. In addition the Meglio pipeline-riser model is used as an example process. These models are developed from a subspace algorithm, i.e. Deterministic and Stochastic system identification and Realization (DSR), and implemented in a Model Predictive Controller (MPC) for stabilizing the slugging regime. The MPC, LQR and PI control strategies are tested.http://www.mic-journal.no/PDF/2016/MIC-2016-1-4.pdfModel-FreeModel Predictive ControlKalman filtersystem identificationanti-slugwell-pipeline-riser |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Christer Dalen David Di Ruscio |
| spellingShingle |
Christer Dalen David Di Ruscio Model-Free Predictive Anti-Slug Control of a Well-Pipeline-Riser Modeling, Identification and Control Model-Free Model Predictive Control Kalman filter system identification anti-slug well-pipeline-riser |
| author_facet |
Christer Dalen David Di Ruscio |
| author_sort |
Christer Dalen |
| title |
Model-Free Predictive Anti-Slug Control of a Well-Pipeline-Riser |
| title_short |
Model-Free Predictive Anti-Slug Control of a Well-Pipeline-Riser |
| title_full |
Model-Free Predictive Anti-Slug Control of a Well-Pipeline-Riser |
| title_fullStr |
Model-Free Predictive Anti-Slug Control of a Well-Pipeline-Riser |
| title_full_unstemmed |
Model-Free Predictive Anti-Slug Control of a Well-Pipeline-Riser |
| title_sort |
model-free predictive anti-slug control of a well-pipeline-riser |
| publisher |
Norwegian Society of Automatic Control |
| series |
Modeling, Identification and Control |
| issn |
0332-7353 1890-1328 |
| publishDate |
2016-01-01 |
| description |
Simplified linearized discrete time dynamic state space models are developed for a 3-phase well-pipeline-riser and tested together with a high fidelity dynamic model built in K-Spice and LedaFlow. In addition the Meglio pipeline-riser model is used as an example process. These models are developed from a subspace algorithm, i.e. Deterministic and Stochastic system identification and Realization (DSR), and implemented in a Model Predictive Controller (MPC) for stabilizing the slugging regime. The MPC, LQR and PI control strategies are tested. |
| topic |
Model-Free Model Predictive Control Kalman filter system identification anti-slug well-pipeline-riser |
| url |
http://www.mic-journal.no/PDF/2016/MIC-2016-1-4.pdf |
| work_keys_str_mv |
AT christerdalen modelfreepredictiveantislugcontrolofawellpipelineriser AT daviddiruscio modelfreepredictiveantislugcontrolofawellpipelineriser |
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