This paper proposes a technique for the off-line estimation of the electrical parameters of the equivalent circuit of an Induction Machines (IM), and focuses on the application of an algorithm based on the minimization of a suitable cost function involving the differences between the measured stator current direct (sD) and quadrature (sQ) components and the corresponding estimated by the IM state model. This method exploits an entire start-up transient of the IM to estimate all of the 4 electrical parameters of the machine (Rs, Ls, σLs, Tr). It proposes also a set of tests to be made in order to estimate the variation of the magnetic parameters of the IM versus the rotor magnetizing current as well as the magnetizing curve of the machine. The proposed methodology has been verified experimentally on a suitably developed test set-up.

Accetta, A., Alonge, F., Cirrincione, M., Pucci, M., Sferlazza, A. (2014). Parameter identification of induction motor model by means of State Space-Vector Model Output Error Minimization. In Proceedings of XXI International Conference on Electrical Machines (ICEM), 2014 (pp.843-849). IEEE / Institute of Electrical and Electronics Engineers Incorporated [10.1109/ICELMACH.2014.6960279].

Parameter identification of induction motor model by means of State Space-Vector Model Output Error Minimization

ALONGE, Francesco;SFERLAZZA, Antonino
2014-01-01

Abstract

This paper proposes a technique for the off-line estimation of the electrical parameters of the equivalent circuit of an Induction Machines (IM), and focuses on the application of an algorithm based on the minimization of a suitable cost function involving the differences between the measured stator current direct (sD) and quadrature (sQ) components and the corresponding estimated by the IM state model. This method exploits an entire start-up transient of the IM to estimate all of the 4 electrical parameters of the machine (Rs, Ls, σLs, Tr). It proposes also a set of tests to be made in order to estimate the variation of the magnetic parameters of the IM versus the rotor magnetizing current as well as the magnetizing curve of the machine. The proposed methodology has been verified experimentally on a suitably developed test set-up.
Settore ING-INF/04 - Automatica
3-set-2014
XXI International Conference on Electrical Machines (ICEM 2014)
Berlino
2-5 Settembre 2014
mag-2014
2014
7
A stampa
Accetta, A., Alonge, F., Cirrincione, M., Pucci, M., Sferlazza, A. (2014). Parameter identification of induction motor model by means of State Space-Vector Model Output Error Minimization. In Proceedings of XXI International Conference on Electrical Machines (ICEM), 2014 (pp.843-849). IEEE / Institute of Electrical and Electronics Engineers Incorporated [10.1109/ICELMACH.2014.6960279].
Proceedings (atti dei congressi)
Accetta, A; Alonge, F; Cirrincione, M; Pucci, M; Sferlazza, A.
File in questo prodotto:
File Dimensione Formato  
par_ident_IEEE.pdf

Solo gestori archvio

Descrizione: Articolo principale
Dimensione 3.31 MB
Formato Adobe PDF
3.31 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/99665
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 14
  • ???jsp.display-item.citation.isi??? 10
social impact