A neuro-fuzzy identification of non-linear transient systems / I.C. Franco in International journal of refrigeration, Vol. 34 N° 8 (Décembre 2011)  

Public ISBD [article]  inInternational journal of refrigeration > Vol. 34 N° 8 (Décembre 2011) . - pp. 2063–2075 Titre : A neuro-fuzzy identification of non-linear transient systems : Application to a pilot refrigeration plant Titre original : Identification neuronale / par logique floue des systèmes en régime transitoire non linéaires: Application à une installation frigorifique pilote Type de document : texte imprimé Auteurs : I.C. Franco, Auteur ; M. Dall’Agnol, Auteur ; T.V. Costa, Auteur Année de publication : 2012 Article en page(s) : pp. 2063–2075 Note générale : Génie mécanique Langues : Anglais (eng) Mots-clés : Compression system Modeling Cooling Propylene glycol Neural network Fuzzy logic Résumé : This study proposes to determine empirical models that represent the non-linear dynamics of a pilot refrigeration system (chiller), by using identification techniques of neuro-fuzzy systems (ANFIS). A detailed experimental study of a pilot refrigeration process using compression was conducted. Non-linearities were detected in the experimental data obtained from the system. Neuro-fuzzy models were developed for the prediction of the following process temperatures: condensation; evaporation; and refrigerated fluid (propylene glycol aqueous solution). The validation of the models was successfully conducted offline and online. The values obtained for VAF (“variance accounted for”) performance index and the dispersion plots showed the high performance of the models. These empirical models will be especially useful in the development of different non-linear control strategies, such as: fuzzy, neuro-fuzzy and model predictive control. ISSN : 0140-7007 En ligne : http://www.sciencedirect.com/science/article/pii/S0140700711001046# [article] A neuro-fuzzy identification of non-linear transient systems = Identification neuronale / par logique floue des systèmes en régime transitoire non linéaires: Application à une installation frigorifique pilote : Application to a pilot refrigeration plant [texte imprimé] / I.C. Franco, Auteur ; M. Dall’Agnol, Auteur ; T.V. Costa, Auteur . - 2012 . - pp. 2063–2075. Génie mécanique Langues : Anglais (eng) in International journal of refrigeration > Vol. 34 N° 8 (Décembre 2011) . - pp. 2063–2075 Mots-clés : Compression system Modeling Cooling Propylene glycol Neural network Fuzzy logic Résumé : This study proposes to determine empirical models that represent the non-linear dynamics of a pilot refrigeration system (chiller), by using identification techniques of neuro-fuzzy systems (ANFIS). A detailed experimental study of a pilot refrigeration process using compression was conducted. Non-linearities were detected in the experimental data obtained from the system. Neuro-fuzzy models were developed for the prediction of the following process temperatures: condensation; evaporation; and refrigerated fluid (propylene glycol aqueous solution). The validation of the models was successfully conducted offline and online. The values obtained for VAF (“variance accounted for”) performance index and the dispersion plots showed the high performance of the models. These empirical models will be especially useful in the development of different non-linear control strategies, such as: fuzzy, neuro-fuzzy and model predictive control. ISSN : 0140-7007 En ligne : http://www.sciencedirect.com/science/article/pii/S0140700711001046#

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