Paper Info
Title
Nonlinear model predicitve control of a gas-liquid cylindrical cyclone
Abstract
Gas-liquid cylindrical cyclone separators are increasingly used for separation of hydrocarbons in the oil and gas industry. They are favoured for their low weight and compact design. However, a challenge is their small volume, which makes them sensitive to flow variations, which can cause operational and separation problems. Optimal control can improve both operational and separation performance. We extend a newly derived control-oriented model to include continuous separation and use this extended model to propose a nonlinear model predictive control algorithm to improve control and optimize the purity of the gas product. To achieve this, one degree of freedom is freed up by implementing band control of the liquid level. The extended model is qualitatively verified in simulation and the performance of the nonlinear model predictive control algorithm is compared with and without measurement noise and with and without optimization of the gas product purity.
Year
DOI
Venue
2017
10.1109/MED.2017.7984097
2017 25th Mediterranean Conference on Control and Automation (MED)
Keywords
Field
DocType
nonlinear model predictive control,gas-liquid cylindrical cyclone separators,hydrocarbon separation,oil and gas industry,optimal control,one degree of freedom,liquid level band control,gas product purity
Degrees of freedom (statistics),Optimal control,Algorithm design,Computer science,Liquid crystal on silicon,Control theory,Flow (psychology),Separator (oil production),Cylinder,Model predictive control,Control engineering
Conference
ISSN
ISBN
Citations 
2325-369X
978-1-5090-4534-1
0
PageRank 
References 
Authors
0.34
2
2
Name
Order
Citations
PageRank
Kristoffersen, T.T.111.83
Christian Holden243.90