Nonlinear predictive control for continuous microalgae cultivation process in a photobioreactor
| Autor: | Sihem Tebbani, Ghizlane Hafidi, Didier Dumur, Giuliana Becerra-Celis, Arsène Isambert |
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| Přispěvatelé: | SUPELEC-Campus Gif, Ecole Supérieure d'Electricité - SUPELEC (FRANCE), SUPELEC, Dartron, Josiane |
| Jazyk: | angličtina |
| Rok vydání: | 2008 |
| Předmět: |
Model control
0209 industrial biotechnology Engineering business.industry Biomass Photobioreactor 02 engineering and technology 7. Clean energy [SPI.AUTO]Engineering Sciences [physics]/Automatic Model predictive control 020901 industrial engineering & automation [SPI.AUTO] Engineering Sciences [physics]/Automatic 020401 chemical engineering Scientific method Bioreactor Nonlinear predictive control Biochemical engineering 0204 chemical engineering business ComputingMilieux_MISCELLANEOUS |
| Zdroj: | Proceedings of International Conference on Control, Automation, Robotics and Vision ICARCV 08 ICARCV |
| Popis: | This paper presents a nonlinear predictive control (NMPC) strategy applied to the continuous microalgae cultivation process in a closed photobioreactor. The photo-bioreactor system is programmed to operate in a constant biomass density mode, in order to maintain the culture at the optimal population density and sustain high biomass production levels. This objective is achieved by regulating the biomass density while tracking a reference culture medium feeding profile determined off-line. The proposed NMPC approach is validated in simulation, and performances and benefits for the cell cultivations are compared to those obtained when applying a generic model control (GMC) law. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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