“Model-free optimal anti-slug control of a well-pipeline-riser in the K-Spice/LedaFlow simulator”
Authors: Christer Dalen, David Di Ruscio and Roar Nilsen,Affiliation: Telemark University College and Kongsberg Oil and Gas Technologies
Reference: 2015, Vol 36, No 3, pp. 179-188.
Keywords: optimal controller, integral action, PI controller, Kalman filter, system identification, anti-slug, well-pipeline-riser
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.
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DOI: 10.4173/mic.2015.3.5DOI forward links to this article:
| [1] Christer Dalen and David Di Ruscio (2016), doi:10.4173/mic.2016.1.4 |
| [2] Christer Dalen and David Di Ruscio (2019), doi:10.4173/mic.2019.4.2 |
| [3] Nour Bargoth, Christer Dalen and David Di Ruscio (2022), doi:10.4173/mic.2022.3.3 |
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BibTeX:
@article{MIC-2015-3-5,
title={{Model-free optimal anti-slug control of a well-pipeline-riser in the K-Spice/LedaFlow simulator}},
author={Dalen, Christer and Di Ruscio, David and Nilsen, Roar},
journal={Modeling, Identification and Control},
volume={36},
number={3},
pages={179--188},
year={2015},
doi={10.4173/mic.2015.3.5},
publisher={Norwegian Society of Automatic Control}
};