Fuzzy logic feedback control for fed-batch enzymatic hydrolysis of lignocellulosic biomass

A fuzzy logic feedback control system was developed for process monitoring and feeding control in fed-batch enzymatic hydrolysis of a lignocellulosic biomass, dilute acid-pretreated corn stover. Digested glucose from hydrolysis reaction was assigned as input while doser feeding time and speed of pre...

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Bibliographic Details
Published in:Bioprocess and biosystems engineering 2016-06, Vol.39 (6), p.937-944
Main Authors: Tai, Chao, Voltan, Diego S., Keshwani, Deepak R., Meyer, George E., Kuhar, Pankaj S.
Format: Article
Language:English
Subjects:
Bioengineering
Biomass
Biotechnology
Cellulase - metabolism
Cellulose
Chemistry
Chemistry and Materials Science
Control systems
Environmental Engineering/Biotechnology
Enzymes
Feedback control systems
Feeding
Food Science
Fuzzy Logic
Hydrolysis
Industrial and Production Engineering
Industrial Chemistry/Chemical Engineering
Lignin - metabolism
Lignocellulose
Original Paper
Stover
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Summary:A fuzzy logic feedback control system was developed for process monitoring and feeding control in fed-batch enzymatic hydrolysis of a lignocellulosic biomass, dilute acid-pretreated corn stover. Digested glucose from hydrolysis reaction was assigned as input while doser feeding time and speed of pretreated biomass were responses from fuzzy logic control system. Membership functions for these three variables and rule-base were created based on batch hydrolysis data. The system response was first tested in LabVIEW environment then the performance was evaluated through real-time hydrolysis reaction. The feeding operations were determined timely by fuzzy logic control system and efficient responses were shown to plateau phases during hydrolysis. Feeding of proper amount of cellulose and maintaining solids content was well balanced. Fuzzy logic proved to be a robust and effective online feeding control tool for fed-batch enzymatic hydrolysis.
ISSN:1615-7591
1615-7605
DOI:10.1007/s00449-016-1573-1