Improving Bioethanol Production via Nonlinear Controller with Noisy Measurements

A bioprocess operation is commonly determined off-line, in which the measurements contain noise and can affect the controller performance. In this work, a nonlinear controller based on a generalized hyperbolic tangent feedback in the control error was designed, proving reduction of the negative effe...

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Bibliographic Details
Published in:Chemical engineering communications 2015-11, Vol.202 (11), p.1438-1445
Main Authors: López-Pérez, Pablo A., Cuevas-Ortiz, Fernando A., Gómez-Acata, Rigel V., Aguilar-López, Ricardo
Format: Article
Language:English
Subjects:
Bioreactors
Continuous bioreactor
Control theory
Ethanol
Ethanol production
Ethyl alcohol
Feedback
Fermentation
Noise
Nonlinearity
Reduction
Robust controller
Saccharification
Saccharomyces cerevisiae
Simultaneous saccharification
Yeast
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Summary:A bioprocess operation is commonly determined off-line, in which the measurements contain noise and can affect the controller performance. In this work, a nonlinear controller based on a generalized hyperbolic tangent feedback in the control error was designed, proving reduction of the negative effects caused by noise in the bioreactor measurement output. This was applied to regulate the substrate concentration in a continuous bioreactor for the simultaneous saccharification and fermentation of starch to ethanol. The proposed controller stability was demonstrated by Lyapunov theory. Numerical results showed a good performance by the controller scheme, despite the bounded additive noise in the substrate measurements, and it achieved high ethanol production in comparison with other control laws.
ISSN:0098-6445
1563-5201
DOI:10.1080/00986445.2014.956737