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Parameter identification of induction motor model by means of state space-vector model output error minimization

Accetta, A. and Alonge, F. and Cirrincione, Maurizio and Pucci, M. and Sferlazza, A. (2014) Parameter identification of induction motor model by means of state space-vector model output error minimization. [Conference Proceedings]

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    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.

    Item Type: Conference Proceedings
    Subjects: T Technology > TA Engineering (General). Civil engineering (General)
    T Technology > TK Electrical engineering. Electronics Nuclear engineering > Robotics and Automation
    Divisions: Faculty of Science, Technology and Environment (FSTE) > School of Engineering and Physics
    Depositing User: Fulori Nainoca
    Date Deposited: 31 Mar 2015 11:44
    Last Modified: 20 Sep 2016 15:08
    URI: http://repository.usp.ac.fj/id/eprint/8168
    UNSPECIFIED

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