Identification and online validation of a pH neutralization process using an adaptive network-based fuzzy inference system

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dc.contributor.authorMota A.S.
dc.contributor.authorMenezes M.R.
dc.contributor.authorSchmitz J.E.
dc.contributor.authorDa Costa T.V.
dc.contributor.authorDa Silva F.V.
dc.contributor.authorFranco I.C.
dc.date.accessioned2019-08-20T00:12:12Z
dc.date.available2019-08-20T00:12:12Z
dc.date.issued2016
dc.description.abstract© Taylor & Francis Group, LLC.In this study, the application of adaptive neuro-fuzzy inference system (ANFIS) architecture to build prediction models that represent the pH neutralization process is proposed. The dataset used to identify the process was obtained experimentally in a bench scale plant. The prediction model attained was validated offline and online and demonstrated as able to precisely predict the one step-ahead value of effluent pH leaving the neutralization reactor. The input variables were the current and one past value of the acid and base flow rates and the current value of the output variable. Variance accounted for (VAF) indices greater than 99% were achieved by the model in experiments in which the disturbances in the acid and basic solutions flow rates were applied separately. For tests with simultaneous disturbances, conditions never seen in the training and suffering from reactor level oscillations, the prediction model VAF index was still approximately 96%. The validations demonstrated the capability of ANFIS to build precise fuzzy models from input–output datasets. R2 values achieved were always larger than 0.96.
dc.description.firstpage516
dc.description.issuenumber4
dc.description.lastpage526
dc.description.volume203
dc.identifier.citationFRANCO, Ivan Carlos; MOTA, A. S.; MENEZES, M. R.; SCHMITZ, J. E.; COSTA, T. V.; SILVA, F. V.. Identification and on-Line Validation of a pH Neutralization Process Using an Adaptive Network Based Fuzzy Inference System. Chemical Engineering Communications (Print), v. 203, n. 4, p. 516-526, 2015.
dc.identifier.doi10.1080/00986445.2015.1048799
dc.identifier.issn1563-5201
dc.identifier.urihttps://repositorio.fei.edu.br/handle/FEI/1840
dc.relation.ispartofChemical Engineering Communications
dc.rightsAcesso Restrito
dc.subject.otherlanguageANFIS architecture
dc.subject.otherlanguagepH neutralization
dc.subject.otherlanguagePrediction models
dc.subject.otherlanguageProcess identification
dc.titleIdentification and online validation of a pH neutralization process using an adaptive network-based fuzzy inference system
dc.typeArtigo
fei.scopus.citations10
fei.scopus.eid2-s2.0-85010058249
fei.scopus.subjectAdaptive network based fuzzy inference system
fei.scopus.subjectAdaptive neuro-fuzzy inference system
fei.scopus.subjectANFIS architecture
fei.scopus.subjectNeutralization reactor
fei.scopus.subjectPH neutralization process
fei.scopus.subjectPh neutralizations
fei.scopus.subjectPrediction model
fei.scopus.subjectProcess identification
fei.scopus.updated2024-05-01
fei.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85010058249&origin=inward
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