dc.contributorUniv Nebraska
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-11-26T16:33:08Z
dc.date.available2018-11-26T16:33:08Z
dc.date.created2018-11-26T16:33:08Z
dc.date.issued2016-06-01
dc.identifierBioprocess And Biosystems Engineering. New York: Springer, v. 39, n. 6, p. 937-944, 2016.
dc.identifier1615-7591
dc.identifierhttp://hdl.handle.net/11449/161534
dc.identifier10.1007/s00449-016-1573-1
dc.identifierWOS:000376486400008
dc.identifierWOS000376486400008.pdf
dc.description.abstractA 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.
dc.languageeng
dc.publisherSpringer
dc.relationBioprocess And Biosystems Engineering
dc.relation0,640
dc.rightsAcesso aberto
dc.sourceWeb of Science
dc.subjectFuzzy logic
dc.subjectEnzymatic hydrolysis
dc.subjectFeedback control
dc.subjectBioconversion
dc.subjectBiofuels
dc.titleFuzzy logic feedback control for fed-batch enzymatic hydrolysis of lignocellulosic biomass
dc.typeArtículos de revistas


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