Les Inscriptions à la Bibliothèque sont ouvertes en
ligne via le site: https://biblio.enp.edu.dz
Les Réinscriptions se font à :
• La Bibliothèque Annexe pour les étudiants en
2ème Année CPST
• La Bibliothèque Centrale pour les étudiants en Spécialités
A partir de cette page vous pouvez :
Retourner au premier écran avec les recherches... |
Détail de l'auteur
Auteur Corzine, K. A.
Documents disponibles écrits par cet auteur
Affiner la rechercheOnline synchronous machine parameter extraction from small-signal injection techniques / Jing Huang in IEEE transactions on energy conversion, Vol. 24 N°1 (Mars 2009)
[article]
in IEEE transactions on energy conversion > Vol. 24 N°1 (Mars 2009) . - pp. 43 - 51
Titre : Online synchronous machine parameter extraction from small-signal injection techniques Type de document : texte imprimé Auteurs : Jing Huang, Auteur ; Corzine, K. A., Auteur ; Belkhayat, M., Auteur Année de publication : 2009 Article en page(s) : pp. 43 - 51 Note générale : energy conversion Langues : Anglais (eng) Mots-clés : Choppers (circuits); genetic algorithms; machine control; parameter estimation; synchronous machines Résumé : This paper proposes using a novel line-to-line voltage perturbation as a technique for online measurement of synchronous machine parameters. The perturbation is created by a chopper circuit connected between two phases of the machine. Using this method, it is possible to obtain the full set of four complex small-signal impedances of the synchronous machine d-q model over a wide frequency range. Typically, two chopper switching frequencies are needed to obtain one data point. However, it is shown herein that, due to the symmetry of the machine equations, only one chopper switching frequency is needed to obtain the information. A 3.7-kW machine system is simulated, and then constructed for validation of the impedance measurement technique. A genetic algorithm is then used to obtain IEEE standard model parameters from the d -q impedances. The resulting parameters are shown to be similar to those obtained by a series of tests involving synchronous reactance measurements and a standstill frequency response. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4783111&sortType%3Das [...] [article] Online synchronous machine parameter extraction from small-signal injection techniques [texte imprimé] / Jing Huang, Auteur ; Corzine, K. A., Auteur ; Belkhayat, M., Auteur . - 2009 . - pp. 43 - 51.
energy conversion
Langues : Anglais (eng)
in IEEE transactions on energy conversion > Vol. 24 N°1 (Mars 2009) . - pp. 43 - 51
Mots-clés : Choppers (circuits); genetic algorithms; machine control; parameter estimation; synchronous machines Résumé : This paper proposes using a novel line-to-line voltage perturbation as a technique for online measurement of synchronous machine parameters. The perturbation is created by a chopper circuit connected between two phases of the machine. Using this method, it is possible to obtain the full set of four complex small-signal impedances of the synchronous machine d-q model over a wide frequency range. Typically, two chopper switching frequencies are needed to obtain one data point. However, it is shown herein that, due to the symmetry of the machine equations, only one chopper switching frequency is needed to obtain the information. A 3.7-kW machine system is simulated, and then constructed for validation of the impedance measurement technique. A genetic algorithm is then used to obtain IEEE standard model parameters from the d -q impedances. The resulting parameters are shown to be similar to those obtained by a series of tests involving synchronous reactance measurements and a standstill frequency response. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4783111&sortType%3Das [...]