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
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.
ACTUATOR 2016 Manuscript P 37
Publication date: 01/06/2016
Manuscript P 37 published in Conference Proceedings ACTUATOR 2016
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