Online identification of parameters defining the saturation characteristics of induction machines

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© 2013 Institute of Electrical & Electronics Engineers (IEEE). Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work.
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School of Electrical Engineering | A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

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en

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2136-2145

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IEEE Transactions on Industry Applications, Volume 49, Issue 5

Abstract

The induction machine model parameters need to be estimated with good accuracy to ensure a good performance of the drive. Due to the magnetic saturation, the inductances vary as a function of the flux level. The magnetizing curve can be identified at standstill, but more accurate results are obtained if the identification is performed as the machine is running. In this paper, the magnetic saturation is modeled using a power function, and adaptation laws for the function parameters are proposed. The adaptation method is implemented in the control system of a sensorless drive. Experimental results on a 2.2-kW machine show that the identification of the stator inductance is rapid and the accuracy is good.

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Ranta, Mikaela & Hinkkanen, Marko. 2013. Online identification of parameters defining the saturation characteristics of induction machines. IEEE Transactions on Industry Applications. Volume 49, Issue 5. 2136-2145. 1939-9367 (electronic). 0093-9994 (printed). DOI: 10.1109/TIA.2013.2261793.