ACTUATOR 2016 Manuscript P 37


Author: Hubert Borgmann
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Pages: 4
Language: English
Publication date: 01/06/2016
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Manuscript P 37 published in Conference Proceedings ACTUATOR 2016
Noise-Robust Online Parameter Identification of BLAC Machines Using Sliding Mode Differentiator

N. König, E. Grasso, D. Merl, M. Nienhaus
Universität des Saarlandes, Saarbrücken, Germany

Abstract:
Parameter identification algorithms are needed to successfully control electrical machines, as well as for final inspection stages of motor production. Nevertheless, such algorithms make use of current sensors, which typically introduce noise. Moreover, the needed time derivative of the current measurements represents a major limitation in parameter identification. In this work a sliding mode differentiator is combined to a LMS algorithm for improving noise robustness of the parameter identification technique. Experimental results performed on a BLAC motor will be shown and discussed.
El vendedor asume toda la responsabilidad de esta entrada.
Hubert Borgmann, MESSE BREMEN,
Project Manager ACTUATOR, International Conference and Exhibition on New Actuators and Drive Systems, Bremen, Germany, and Editor of the ACTUATOR Conference Proceedings (www.actuator.de)
Project Manager ITHEC, International Conference and Exhibition on Thermoplastic Composites, Bremen, Germany, and Editor of the ITHEC Conference Proceedings (www.ithec.de)

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