Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Micaela Benavides"'
Autor:
Micaela Benavides, Johan Mailier, Anne-Lise Hantson, Gerardo Muñoz, Alejandro Vargas, Jan Van Impe, Alain Vande Wouwer
Publikováno v:
Sensors, Vol 15, Iss 3, Pp 4766-4780 (2015)
In this study, a low-cost RGB sensor is developed to measure online the microalgae concentration within a photo-bioreactor. Two commercially available devices, i.e., a spectrophotometer for offline measurements and an immersed probe for online measur
Externí odkaz:
https://doaj.org/article/bc4ec0457ecd402ab1db45b897858b13
Publikováno v:
Computers & Chemical Engineering. 121:46-56
Super twisting observers (STOs) are particularly useful in situations where the process model is uncertain or in the presence of non measurable perturbations. Despite their increasing popularity, the selection of design parameters is delicate and is
Publikováno v:
Journal of Process Control. 36:55-63
The advanced control of microalgal cultures usually requires the knowledge of several component concentrations, which are however not always measurable on-line. In this context, state estimation plays an important role, and software sensors should be
Publikováno v:
IFAC-PapersOnLine. 48:1081-1086
An observer-based robust control strategy is proposed for controlling overflow metabolism cultures operated in fed-batch mode. In order to maximize the biomass productivity, the controller is designed to regulate the inhibitory by-product concentrati
Autor:
Joost Lauwers, Micaela Benavides, Filip Logist, Dries Telen, Alain Vande Wouwer, Jan Van Impe
Publikováno v:
IFAC-PapersOnLine. 48:586-591
The Droop model is a classical model used to describe substrate limitation in cultures of microalgae in photobioreactors. In this study, we address the questions of structural identifiability as well as practical identifiability. Optimal experiment d
Publikováno v:
Sba: Controle & Automação Sociedade Brasileira de Automatica. 22:105-117
This paper proposes a convex optimization approach for the design of robust observers applied to the control of five phase induction machines subject to rotor resistance variation and load disturbance. Based on the first and third harmonic dynamic mo
Publikováno v:
Bioprocess and biosystems engineering. 38(9)
Mathematical modeling and the development of predictive dynamic models are of paramount importance for the optimization, state estimation, and control of bioprocesses. This study is dedicated to the identification of a simple model of microalgae grow
Publikováno v:
ECC
Monitoring of microalgal processes is delicate due to the lack of on-line sensors, except for a few variables such as biovolume. In this study, software sensors are designed to reconstruct variables such as the internal nitrogen quota, whose follow-u