Model-Free Predictive Anti-Slug Control of a Well-Pipeline-Riser

dc.contributor.author	Dalen, Christer
dc.contributor.author	Ruscio, David Luigi Di
dc.date.accessioned	2017-02-27T10:26:15Z
dc.date.accessioned	2017-04-19T12:50:12Z
dc.date.available	2017-02-27T10:26:15Z
dc.date.available	2017-04-19T12:50:12Z
dc.date.issued	2016
dc.identifier.citation	Dalen, C., Ruscio, D. (2016). Model-Free Predictive Anti-Slug Control of a Well-Pipeline-Riser. Modeling Identification and Control, 37, 41-52.
dc.identifier.issn	0332-7353
dc.identifier.uri	http://hdl.handle.net/11250/2438473
dc.description.abstract	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.
dc.language.iso	eng
dc.subject	Model-Free
dc.subject	Model Predictive Control
dc.subject	Kalman filter
dc.subject	system identification
dc.subject	anti-slug
dc.subject	well-pipeline-riser
dc.title	Model-Free Predictive Anti-Slug Control of a Well-Pipeline-Riser
dc.type	Journal article
dc.type	Peer reviewed
dc.description.version	Published version
dc.identifier.doi	DOI: 10.4173/mic.2016.1.4