Control of a gas-liquid inline swirl separator based on tomographic measurements

M. M. Garcia*, B. Sahovic, M. A. Sattar, H. Atmani, E. Schleicher, U. Hampel, L. Babout, D. Legendre, L. M. Portela

*Corresponding author for this work

Research output: Contribution to journalConference articleScientificpeer-review

7 Citations (Scopus)
64 Downloads (Pure)


This text structures the application of Wire-Mesh sensors and Electrical Resistance Tomography in the control of an Inline Swirl Separator. It introduces a mechanistic model of the two-phase flow inside the device, which is linearized around an ideal perfect operation, and implemented in a Model Predictive Controller. The whole text is structured aiming at a future real application of the controller, briefly introducing the setup that is going to be used, the sensors and their working principles. The results obtained show a stable controller, able to regulate the process relatively fast in relation to the time resolution of the sensors. The positive response of the approach stimulates further improvements in the model developed, and the implementation of more sophisticated techniques to handle the non-linearities of the process.

Original languageEnglish
Pages (from-to)11483-11490
Issue number2
Publication statusPublished - 2020
Event21st IFAC World Congress 2020 - Berlin, Germany
Duration: 12 Jul 202017 Jul 2020


  • Cyclone
  • Gas-liquid flow
  • Model based control
  • Process control
  • Swirl separator
  • Tomography


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