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

Francesco Alonge, Antonino Sferlazza, Angelo Accetta, Pucci, Cirrincione

Risultato della ricerca: Otherpeer review

9 Citazioni (Scopus)

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.
Lingua originaleEnglish
Pagine843-849
Numero di pagine7
Stato di pubblicazionePublished - 2014

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Mechanical Engineering

Fingerprint Entra nei temi di ricerca di 'Parameter identification of induction motor model by means of State Space-Vector Model Output Error Minimization'. Insieme formano una fingerprint unica.

Cita questo