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Nonlinear model predicitve control of a gas-liquid cylindrical cyclone | IEEE Conference Publication | IEEE Xplore

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 com...Show More

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.
Date of Conference: 03-06 July 2017
Date Added to IEEE Xplore: 20 July 2017
ISBN Information:
Electronic ISSN: 2473-3504
Conference Location: Valletta, Malta

References

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