Ole Magnus Brastein
Department of Electrical Engineering, IT, and Cybernetics, University College of Southeast Norway, Porsgrunn, Norway
Roshan Sharma
Department of Electrical Engineering, IT, and Cybernetics, University College of Southeast Norway, Porsgrunn, Norway
Download article
http://dx.doi.org/10.3384/ecp17142362Published in: Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016
Linköping Electronic Conference Proceedings 142:53, p. 362-368
Published: 2018-12-19
ISBN: 978-91-7685-399-3
ISSN: 1650-3686 (print), 1650-3740 (online)
The occurrence of slug ?ow is a common problem arising in the oil well riser pipeline. To eliminate such slug ?ow, various control structures along with state estimation are designed and compared in this paper. Nonlinear model based predictive scheme are compared with classical PI controllers for three different control structures. One of the control structure is based on controlling the mass of the liquid in the riser pipeline, for which, an Unscented Kalman Filter is designed to estimate the mass. The simulation results show that the model based controllers perform relatively better than the classical controllers. Al-though computationally expensive, the control algorithm used in this paper for model based control still makes it real time implementable.
