Publication:
Application of fuzzy control to fed-batch yeast fermentation

dc.contributor.authorsBesli, N; Gul, E; Turker, M
dc.contributor.editorReusch, B
dc.date.accessioned2022-03-12T15:58:10Z
dc.date.accessioned2026-01-11T14:14:43Z
dc.date.available2022-03-12T15:58:10Z
dc.date.issued1997
dc.description.abstractA new fuzzy controller has been designed and compared with the one developed previously for the control of fed-batch yeast fermentation. The respiratory quotient (RQ) was used as controller input and flow rate of glucose solution was controlled to maximize conversion of glucose to biomass. The new controller was found to be stable throughout the production period, keeping the glucose flow rate at the desired value, whereas the old controller was unstable towards the end of the fermentation and was unable to control and minimize the ethanol concentration in the fermentation broth.
dc.identifier.doidoiWOS:000073946500022
dc.identifier.isbn3-540-62868-1
dc.identifier.issn0302-9743
dc.identifier.urihttps://hdl.handle.net/11424/223963
dc.identifier.wosWOS:000073946500022
dc.language.isoeng
dc.publisherSPRINGER-VERLAG BERLIN
dc.relation.ispartofCOMPUTATIONAL INTELLIGENCE: THEORY AND APPLICATIONS
dc.relation.ispartofseriesLECTURE NOTES IN COMPUTER SCIENCE
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectfuzzy control
dc.subjectfed-batch process
dc.subjectbaker's yeast
dc.subjectCULTURE
dc.titleApplication of fuzzy control to fed-batch yeast fermentation
dc.typeconferenceObject
dspace.entity.typePublication
oaire.citation.endPage216
oaire.citation.startPage207
oaire.citation.titleCOMPUTATIONAL INTELLIGENCE: THEORY AND APPLICATIONS
oaire.citation.volume1226

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