Application of the neurone – fuzzy technique for the minimisation of MF of asynchronous machine fuzzy speed regulator

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dc.contributor.authorBradai, Rafik
dc.contributor.authorChetate, Boukhmis
dc.date.accessioned2015-04-09T10:13:17Z
dc.date.available2015-04-09T10:13:17Z
dc.date.issued2003
dc.description.abstractFrom their early discovry, the fuzzy-neural techniques did not show enough use and interest in other fields of research as it for systems identification and diagnosis. In this paper, the application of these techniques in the control of induction machine (M.I) is presented. therefor, the fuzzy control of MI is handled. The fuzzy controlletr of 7 membership function (M.F) is used for speed control, offering the possibility of tuning its control parameters as a function of speed error. A M.F minimization of this controller is developped using fuzzy-neural techniqueen_US
dc.identifier.issn1112-2242
dc.identifier.urihttps://dspace.univ-boumerdes.dz/jspui/handle/123456789/203
dc.language.isoenen_US
dc.relation.ispartofseriesThe Journal of the extendable energies (revue des energies renouvelables) / proceedings of the first International conference on the energy efficiency/ (2003);p.p. 428-434
dc.subjectNeurone – fuzzyen_US
dc.subjectInduction machine (M.I)en_US
dc.subjectControlen_US
dc.subjectSpeeden_US
dc.subjectAsynchronousen_US
dc.titleApplication of the neurone – fuzzy technique for the minimisation of MF of asynchronous machine fuzzy speed regulatoren_US
dc.typeArticleen_US

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