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

Chao Tai; Diego S. Voltan; Deepak R. Keshwani; George E. Meyer; Pankaj S. Kuhar

doi:10.1007/s00449-016-1573-1

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

Chao Tai, Diego S. Voltan, Deepak R. Keshwani, George E. Meyer, Pankaj S. Kuhar

Daugherty Water for Food Global Institute

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	937-944
Number of pages	8
Journal	Bioprocess and Biosystems Engineering
Volume	39
Issue number	6
DOIs	https://doi.org/10.1007/s00449-016-1573-1
State	Published - Jun 1 2016

Keywords

Bioconversion
Biofuels
Enzymatic hydrolysis
Feedback control
Fuzzy logic

ASJC Scopus subject areas

Biotechnology
Bioengineering

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10.1007/s00449-016-1573-1

Cite this

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title = "Fuzzy logic feedback control for fed-batch enzymatic hydrolysis of lignocellulosic biomass",

abstract = "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.",

keywords = "Bioconversion, Biofuels, Enzymatic hydrolysis, Feedback control, Fuzzy logic",

author = "Chao Tai and Voltan, {Diego S.} and Keshwani, {Deepak R.} and Meyer, {George E.} and Kuhar, {Pankaj S.}",

note = "Funding Information: This work was carried out with funding from a strategic research grant from the Institute of Agriculture and Natural Resources at the University of Nebraska. The authors would like to thank Novozymes North America Inc. for providing CTec2 and Mr. Aaron Engel for considerable help of LabVIEW programming. Publisher Copyright: {\textcopyright} 2016, Springer-Verlag Berlin Heidelberg.",

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AU - Voltan, Diego S.

AU - Keshwani, Deepak R.

AU - Meyer, George E.

AU - Kuhar, Pankaj S.

N1 - Funding Information: This work was carried out with funding from a strategic research grant from the Institute of Agriculture and Natural Resources at the University of Nebraska. The authors would like to thank Novozymes North America Inc. for providing CTec2 and Mr. Aaron Engel for considerable help of LabVIEW programming. Publisher Copyright: © 2016, Springer-Verlag Berlin Heidelberg.

PY - 2016/6/1

Y1 - 2016/6/1

N2 - 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.

AB - 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.

KW - Bioconversion

KW - Biofuels

KW - Enzymatic hydrolysis

KW - Feedback control

KW - Fuzzy logic

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

Abstract

Keywords

ASJC Scopus subject areas

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