Analysis of the effects of neuro-fuzzy control configuration parameters on PH neutralization process

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dc.contributor.authorMazzali D.G.Z.
dc.contributor.authorFranco I.C.
dc.contributor.authorSilva F.V.
dc.date.accessioned2019-08-20T00:12:13Z
dc.date.available2019-08-20T00:12:13Z
dc.date.issued2018
dc.description.abstract© 2018 Walter de Gruyter GmbH, Berlin/Boston.The pH neutralization process is typical in chemical, biological and petrochemical industries. One of the major challenges to control it is to understand its nonlinearities and that requires several fine adjustments from conventional controls. Artificial Intelligence has been used to study these nonlinearities; one of them is Neuro-Fuzzy Logic, which was investigated in this work to develop controls dedicated to this process. These controls are formed by logical structures and may be adjusted to different configurations. In practical applications, it is highly important to adapt control parameters based on artificial intelligence to obtain better performance. The present work studied the effect of different configurations of a neuro-fuzzy control on the performance of a regulatory control to pH neutralization process by means of a virtual plant developed in both Indusoft and Matlab environments. For both variables, pH and reactor level control, membership function (MF) = [Gaussian], method "OR" = [probabilistic], method "E" = [product], type of MF output = [linear] and the optimization method = [hybrid], have improved control performance, which confirms the importance of configuration choices in neuro-fuzzy control adjustments. Moreover, the most determining factor in NFC performance is the types of membership functions.
dc.description.firstpage1
dc.description.issuenumber4
dc.description.lastpage13
dc.description.volume13
dc.identifier.citationMAZZALI, D. G. Z.; FRANCO, Ivan Carlos; SILVA, F. V.. Analysis of the Effects of Neuro-Fuzzy Control Configuration Parameters on PH Neutralization Process. CHEMICAL PRODUCT AND PROCESS MODELING, v. 13, n. 0, p. 1-13, 2018.
dc.identifier.doi10.1515/cppm-2018-0010
dc.identifier.issn1934-2659
dc.identifier.urihttps://repositorio.fei.edu.br/handle/FEI/1855
dc.relation.ispartofChemical Product and Process Modeling
dc.rightsAcesso Restrito
dc.subject.otherlanguageNeuro-fuzzy
dc.subject.otherlanguageNeuro-fuzzy parameters
dc.subject.otherlanguagepH neutralization process
dc.subject.otherlanguageProcess control
dc.titleAnalysis of the effects of neuro-fuzzy control configuration parameters on PH neutralization process
dc.typeArtigo
fei.scopus.citations0
fei.scopus.eid2-s2.0-85050163865
fei.scopus.subjectControl parameters
fei.scopus.subjectConventional control
fei.scopus.subjectNeuro-Fuzzy
fei.scopus.subjectNeurofuzzy control
fei.scopus.subjectOptimization method
fei.scopus.subjectPetrochemical industry
fei.scopus.subjectPH neutralization process
fei.scopus.subjectRegulatory control
fei.scopus.updated2024-05-01
fei.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85050163865&origin=inward
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