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A Nonlinear Observer for Rotor Flux Estimation of Induction Motor Considering the Estimated Magnetization Characteristic

Alonge, F. and Cirrincione, Maurizio and Pucci , Marcello and Sferlazza, A. (2017) A Nonlinear Observer for Rotor Flux Estimation of Induction Motor Considering the Estimated Magnetization Characteristic. IEEE Transactions on Industry Applications, TBC . NA. ISSN 0093-9994

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    Abstract

    This paper proposes a nonlinear observer for induction machine drives based on space-vector dynamic model of induction machine, expressed in state form, which presents the peculiarity of taking into consideration the magnetic saturation of the iron core. This observer is particularly suitable in order to obtain high accuracy in rotor flux estimation, in both amplitude and phase position, during working conditions characterized by varying flux, among which the most important are those during electrical losses minimization. A Lyapunov based convergence analysis is proposed in order to suitably compute the observer gain guaranteeing the convergence of the estimation error. The proposed nonlinear observer has been tested by means of simulations and experiments carried out on a suitably developed test set-up. Its behavior has been compared with that obtained with a standard full-order Luenberger observer which assumes the linearity of the magnetization characteristic. The paper shows the capability of the proposed nonlinear observer to correctly estimate amplitude and phase of the rotor flux, under flux varying conditions. Moreover, the proposed observer exhibits a higher accuracy than that obtained with the standard observer, which does not consider the estimated magnetization characteristic.

    Item Type: Journal Article
    Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
    Divisions: Faculty of Science, Technology and Environment (FSTE) > School of Engineering and Physics
    Depositing User: Fulori Nainoca
    Date Deposited: 15 Oct 2017 15:55
    Last Modified: 15 Oct 2017 15:55
    URI: http://repository.usp.ac.fj/id/eprint/10310
    UNSPECIFIED

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