Mostrar registro simples

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.accessioned2023-05-03T20:39:06Z
dc.date.available2019-08-20T00:12:13Z
dc.date.available2023-05-03T20:39:06Z
dc.date.issued2018
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.issn1934-2659
dc.identifier.urihttps://hdl.handle.net/20.500.12032/89705
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.relation.ispartofChemical Product and Process Modeling
dc.rightsAcesso Restrito
dc.titleAnalysis of the effects of neuro-fuzzy control configuration parameters on PH neutralization process
dc.typeArtigo


Arquivos deste item

ArquivosTamanhoFormatoVisualização

Este item aparece na(s) seguinte(s) coleção(s)

Mostrar registro simples


© AUSJAL 2022

Asociación de Universidades Confiadas a la Compañía de Jesús en América Latina, AUSJAL
Av. Santa Teresa de Jesús Edif. Cerpe, Piso 2, Oficina AUSJAL Urb.
La Castellana, Chacao (1060) Caracas - Venezuela
Tel/Fax (+58-212)-266-13-41 /(+58-212)-266-85-62

Nuestras redes sociales

facebook Facebook

twitter Twitter

youtube Youtube

Asociaciones Jesuitas en el mundo
Ausjal en el mundo AJCU AUSJAL JESAM JCEP JCS JCAP