Dynamic aspects and controllability of the MELiSSA project: a bioregenerative system to provide life support in space.
Manmade ecosystems differ from their prototype biosphere by the principle of control. The Earth Biosphere is sustainable by stochastic control and very large time constants. By contrast, in a closed ecosystem such as the micro-ecological life support system alternative (MELiSSA system) developed by the European Space Agency for space exploration, a deterministic control is a prerequisite of sustainable existence. MELiSSA is an integrated sum of interconnected biological subsystems. On one hand, all unit operations in charge of the elementary functions constitutive of the entire life support system are studied until a thorough understanding and mathematical modelling. On the other hand, the systemic approach of complex, highly branched systems with feedback loops is performed. This leads to study in the same perspective, with the same degree of accuracy and with the same language, waste degradation, water recycling, atmosphere revitalisation and food production systems prior to the integration of knowledge-based control models. This paper presents the mathematical modelling of the MELiSSA system and the interface between the control strategy of the entire system and the control of the bioreactors.
Farges
Bérangère
B
Laboratoire de Génie Chimique et Biochimique, Bat Polytech'Clermont-Ferrand, Université Blaise Pascal, Aubière, Cedex, France.
Poughon
Laurent
L
Creuly
Catherine
C
Cornet
Jean-François
JF
Dussap
Claude-Gilles
CG
Lasseur
Christophe
C
D001421:Bacteria, Anaerobic / Q000378:metabolism; D001673:Biodegradation, Environmental; D019149:Bioreactors; D000458:Cyanobacteria / Q000378:metabolism; D018504:Ecological Systems, Closed; D006801:Humans; D008021:Life Support Systems; D008962:Models, Theoretical; D009576:Nitrobacter / Q000378:metabolism; D009606:Nitrosomonas / Q000378:metabolism; D010944:Plants / Q000378:metabolism; D012247:Rhodospirillum rubrum / Q000378:metabolism; D013026:Space Flight; D018505:Waste Management / Q000379:methods