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Speed Sensorless Control Of Induction Motors Based On MCA Exin Pisarenko Method

Ye, Binying and Cirrincione, Maurizio and Pucci, M. and Cirrincione, G. (2015) Speed Sensorless Control Of Induction Motors Based On MCA Exin Pisarenko Method. [Conference Proceedings]

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    Abstract

    This paper proposes a speed sensorless technique for high performance induction motor drives based on the retrieval and tracking of the rotor slot harmonic. First, two cascaded ADALINEs (Adaptive Linear Elements) are used to extract the rotor slot harmonic (RSH) from the stator phase current signature, acting as adaptive filters, respectively in configuration band and notch, whose output consists of the RSH. Second, the MCA EXIN neurons are used to extract the eigenvector corresponding to the minimum eigenvalue of the autocorrelation matrix, which is formed by the ADALINEs' output sequence. Then, the slot frequency is estimated by using Pisarenko's theory with this retrieved minimum eigenvector, and subsequently the speed of the motor is estimated. Compared to the original Pisarenko's method however, not only the proposed algorithm can work recursively sample by sample, but the computational complexity and mean square frequency estimation error are largely reduced. The proposed sensorless technique has been experimentally tested on a suitably developed test set-up with a 2-kW induction motor drive. It has been verified that this algorithm can track the rotor speed rapidly and accurately in a very wide speed range, working from rated speed down to 1.3 % of it.

    Item Type: Conference Proceedings
    Additional Information: Doi: 10.1109/ECCE.2015.7309967
    Subjects: T Technology > TA Engineering (General). Civil engineering (General)
    Divisions: Faculty of Science, Technology and Environment (FSTE) > School of Engineering and Physics
    Depositing User: Fulori Nainoca
    Date Deposited: 02 Jun 2016 15:28
    Last Modified: 20 Sep 2016 16:02
    URI: http://repository.usp.ac.fj/id/eprint/8980
    UNSPECIFIED

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