This paper proposes a technique for the off-line estimation of the electrical parameters of the equivalent circuit of linear induction machines (LIM), taking into consideration the end effects, and focuses on the application of an algorithm based on the minimization of a suitable cost function involving the differences of measured and computed by simulation inductor current components. This method exploits an entire start-up transient of the LIM to estimate all the 4 electrical parameters of the machine (Rs, L s, σ Ls, Tr). It proposes also a set of tests to be made to estimate the variation of the magnetic parameters of the LIM versus the magnetizing current as well as the magnetizing curve of the machine. Moreover, a methodology for the estimation of the mechanical parameters of the model is proposed as well. The proposed methodology has been verified experimentally on suitably developed test set-up

Alonge, F., Cirrincione, M., D'IPPOLITO, F., Pucci, M., Sferlazza, A. (2014). Parameter Identification of Linear Induction Motor Model in Extended Range of Operation by Means of Input-Output Data. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 50(2), 959-972 [10.1109/TIA.2013.2272051].

Parameter Identification of Linear Induction Motor Model in Extended Range of Operation by Means of Input-Output Data

ALONGE, Francesco;D'IPPOLITO, Filippo;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 linear induction machines (LIM), taking into consideration the end effects, and focuses on the application of an algorithm based on the minimization of a suitable cost function involving the differences of measured and computed by simulation inductor current components. This method exploits an entire start-up transient of the LIM to estimate all the 4 electrical parameters of the machine (Rs, L s, σ Ls, Tr). It proposes also a set of tests to be made to estimate the variation of the magnetic parameters of the LIM versus the magnetizing current as well as the magnetizing curve of the machine. Moreover, a methodology for the estimation of the mechanical parameters of the model is proposed as well. The proposed methodology has been verified experimentally on suitably developed test set-up
Settore ING-INF/04 - Automatica
Alonge, F., Cirrincione, M., D'IPPOLITO, F., Pucci, M., Sferlazza, A. (2014). Parameter Identification of Linear Induction Motor Model in Extended Range of Operation by Means of Input-Output Data. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 50(2), 959-972 [10.1109/TIA.2013.2272051].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/98273
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