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Proposition de stratégies de commande pour la culture de microalgue dans un photobioréacteur continu

Abstract : This thesis deals with the control of closed microalgal photobioreactor. Mathematical modeling and model parameters identification are particularly approached. The kinetics and light transfer model parameters were obtained by fitting the experimental data acquired along the exponential phase of batch cultivation of Porphyridium purpureum under different conditions in the photobioreactor (2.5 liters). Biomass is one of the most valuable variables to control. Because biomass concentration is very difficult to measure on-line, a software sensor for its estimation is proposed. An extended Kalman filter (EKF) is developed, based on a dynamic process model in combination with total inorganic carbon measurement within an algorithm of state observation. This software sensor leads to good results and was experimentally validated in a new bubble column photobioreactor (9.6 liters) which carried different probes and sensors necessary to implement a control system. Several control strategies for microalgae culture were also proposed: non-linear and linear controllers, PID controller, generic model controller (GMC), input-output linerarizing controller and non-linear predictive controller. We illustrated our approaches with numerical simulations which allowed us to choose the most successful strategies and to validate them on the instrumented photobioreactor.
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Giuliana Becerra-Celis. Proposition de stratégies de commande pour la culture de microalgue dans un photobioréacteur continu. Autre. Ecole Centrale Paris, 2009. Français. ⟨NNT : 2009ECAP0014⟩. ⟨tel-00453307⟩

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