| dc.contributor.author | Dalen, Christer | |
| dc.contributor.author | Di Ruscio, David Luigi | |
| dc.contributor.author | Nilsen, Roar | |
| dc.date.accessioned | 2016-03-16T08:42:50Z | |
| dc.date.accessioned | 2017-04-19T12:50:05Z | |
| dc.date.available | 2016-03-16T08:42:50Z | |
| dc.date.available | 2017-04-19T12:50:05Z | |
| dc.date.issued | 2015 | |
| dc.identifier.citation | Dalen, C., Di Ruscio, D. L., & Nilsen, R. (2015). Model-free optimal anti-slug control of a well-pipeline-riser in the K-Spice/LedaFlow simulator. Modeling, Identification and Control, 36(3), 179-188. doi:http://dx.doi.org/10.4173/mic.2015.3.5 | |
| dc.identifier.issn | 1890-1328 | |
| dc.identifier.uri | http://hdl.handle.net/11250/2438455 | |
| dc.description.abstract | Simplified 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. These models are developed from a subspace algorithm, i.e. Deterministic and Stochastic system identification and Realization (DSR), and implemented in a Linear Quadratic optimal Regulator (LQR) for stabilizing the slugging regime. We are comparing LQR with PI controller using different performance measures. | |
| dc.language.iso | eng | |
| dc.subject | optimal controller | |
| dc.subject | integral action | |
| dc.subject | PI controller | |
| dc.subject | Kalman filter | |
| dc.subject | system identification | |
| dc.subject | anti-slug | |
| dc.subject | well-pipeline-riser | |
| dc.title | Model-free optimal anti-slug control of a well-pipeline-riser in the K-Spice/LedaFlow simulator | |
| dc.type | Journal article | |
| dc.type | Peer reviewed | |
| dc.description.version | Published version | |
| dc.subject.nsi | 581 | |
| dc.source.journal | Modeling, Identification and Control | |
| dc.identifier.doi | http://dx.doi.org/10.4173/mic.2015.3.5 | |
