Nonlinear predictive control for maximization of CO2 bio-fixation by microalgae in a photobioreactor

Sihem Tebbani 1 Filipa Lopes 1, 2 Rayen Filali 1 Didier Dumur 1 D. Pareau 2
1 E3S - Supélec Sciences des Systèmes [Gif-sur-Yvette]
2 LGPM - Laboratoire de Génie des Procédés et Matériaux - EA 4038
Abstract : In the framework of environment preservation, microalgae biotechnology appears as a promising alternative for CO2 mitigation. Advanced control strategies can be further developed to maximize biomass productivity, by maintaining these microorganisms in bioreactors at optimal operating conditions. This article proposes the implementation of Nonlinear Predictive Control combined with an on-line estimation of the biomass concentration, using dissolved carbon dioxide concentration measurements. First, optimal culture conditions are determined so that biomass productivity is maximized. To cope with the lack of on-line biomass concentration measurements, an interval observer for biomass concentration estimation is built and described. This estimator provides a stable accurate interval for the state trajectory and is further included in a nonlinear model predictive control framework that regulates the biomass concentration at its optimal value. The proposed methodology is applied to cultures of the microalgae Chlorella vulgaris in a laboratory-scale continuous photobioreactor. Performance and robustness of the proposed control strategy are assessed through experimental results.
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Article dans une revue
Bioprocess and Biosystems Engineering, Springer Verlag, 2014, 37 (1), pp.83-97. 〈10.1007/s00449-013-0928-0〉
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https://hal-supelec.archives-ouvertes.fr/hal-00936841
Contributeur : Josiane Dartron <>
Soumis le : lundi 27 janvier 2014 - 14:51:52
Dernière modification le : lundi 17 septembre 2018 - 14:58:42

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Sihem Tebbani, Filipa Lopes, Rayen Filali, Didier Dumur, D. Pareau. Nonlinear predictive control for maximization of CO2 bio-fixation by microalgae in a photobioreactor. Bioprocess and Biosystems Engineering, Springer Verlag, 2014, 37 (1), pp.83-97. 〈10.1007/s00449-013-0928-0〉. 〈hal-00936841〉

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