Application of the neurone – fuzzy technique for the minimisation of MF of asynchronous machine fuzzy speed regulator
Abstract
From 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 technique.
Suggested Citation
Rafik Bradai and Boukhemis Chetate . "Application of the neurone – fuzzy technique for the minimisation of MF of asynchronous machine fuzzy speed regulator " the Journal of the Extendable Energies (Revue des Energies Renouvelables) / proceedings of the first International Conference on the Energy Efficiency/ ISSN 1112-2242 -.- (2003): 428-434.
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