Influence of the frequential identification tests on the induction machine modelling

Autor: P. Guérin, M. E. Zaïm, M. Belhaj, L. Abdeljalil
Přispěvatelé: Institut de Recherche en Electrotechnique et Electronique de Nantes Atlantique EA4642 (IREENA), Institut Universitaire de Technologie Saint-Nazaire (IUT Saint-Nazaire), Université de Nantes (UN)-Université de Nantes (UN)-Ecole Polytechnique de l'Université de Nantes (EPUN), Université de Nantes (UN)-Institut Universitaire de Technologie - La Roche-sur-Yon (IUT La Roche-sur-Yon), Université de Nantes (UN)-Université de Nantes (UN)
Rok vydání: 2009
Předmět:
Zdroj: European Physical Journal: Applied Physics
European Physical Journal: Applied Physics, EDP Sciences, 2009, 47 (3), pp.1-10. ⟨10.1051/epjap/2009099⟩
ISSN: 1286-0050
1286-0042
DOI: 10.1051/epjap/2009099
Popis: International audience; An electric network is constituted by generators providing power to various loads. The induction machine is the most common motor in the industrial applications because of its simplicity of construction, its reliability and its low cost. It allows the constant speed applications when it is directly supplied by the network and variable speed ones with the use of power converters. These speed drives induce important harmonic perturbations in the power system and in the motor side. In this context, we are interested by the frequential modelling of the induction machine in order to simulate the line current with its harmonic components. In order to use the induction machine models, it is necessary to identify their parameters and therefore realizing specific and sufficiently informative tests. Several tests of identification are presented in the literature; their differences and their relevance have not been discussed. This study deals with the realization and the comparison of several types of frequential tests (constant voltage, constant , injection of DC current) for induction machine models identification. The comparison of the simulation results with the experimental measurements allows electing the most representative of the induction machine behaviour.
Databáze: OpenAIRE