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2013-11-22 - Colloque/Présentation - poster - Anglais - 1 page(s)

Benavides Castro Micaela , Coutinho Daniel, Hantson Anne-Lise , Van Impe Jan, Vande Wouwer Alain , "Quasi-LPV gain-scheduled observer for Microalgal Cultures" in IAP DYSCO Study Day : Dynamical systems, control and optimization , Bruxelles, Belgium, 2013

  • Codes CREF : Biochimie (DI3112), Sciences de l'ingénieur (DI2000), Automatique (DI2530)
  • Unités de recherche UMONS : Automatique (F107)
  • Instituts UMONS : Institut des Biosciences (Biosciences)
  • Centres UMONS : Biosys (BIOSYS)

Abstract(s) :

(Anglais) Monitoring of microalgal processes is delicate due to the lack of on-line sensors. In this study, software sensors are designed to reconstruct variables such as the internal nitrogen quota, whose follow-up is important when considering the production of lipids. The software sensors make use of one of the simplest models, i.e. Droop model, and are extended Luenberger observers. In the design procedure, uncertain parameters and model nonlinearities are formulated as time varying parameters, resulting into a quasi-Linear Parameter Varying (quasi-LPV) system. Lyapunov arguments and Linear Matrix Inequalities (LMI) techniques are used to develop the proposed software sensors, which are then tested in simulation, showing promising results.