Online adaptive decision fusion based torque ripple reduction in permanent magnet synchronous motor

In this paper, new methods for reducing the torque ripple in permanent magnet synchronous motor are proposed. The methods are based on injection of appropriate current harmonics to motor by using adaptive decision fusion algorithms. Three different methods are used in determining injection of curren...

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Bibliographic Details
Published in:IET electric power applications 2016-03, Vol.10 (3), p.189-196
Main Authors: Erken, Faruk, Öksüztepe, Eyyüp, Kürüm, Hasan
Format: Article
Language:English
Subjects:
active fusion method
convex programming
convex set
current harmonics injection
Harmonics
Motors
Online
online adaptive decision fusion based torque ripple reduction
operating conditions
orthogonal projection performance
permanent magnet motors
permanent magnet synchronous motor
Permanent magnets
q‐axis current
q‐axis current reference value
q‐axis voltage
Ripples
Synchronous motors
Torque
Voltage
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Summary:In this paper, new methods for reducing the torque ripple in permanent magnet synchronous motor are proposed. The methods are based on injection of appropriate current harmonics to motor by using adaptive decision fusion algorithms. Three different methods are used in determining injection of current harmonics based on q-axis current, q-axis voltage and reference value of the q-axis current. In these methods, the decision values are linearly combined with weights, which are updated online according to an active fusion method, based on performing orthogonal projections onto convex sets describing these values. The validity of the proposed methods is tested with experimental studies under different operating conditions.
ISSN:1751-8660
1751-8679
1751-8679
DOI:10.1049/iet-epa.2015.0258