Article In: orcid
Proposition of an offline learning current modulation for torque-ripple reduction in switched reluctance motors: design and experimental evaluation
IEEE Transactions on Industrial Electronics
2015
—Key information
Authors:
Published in
2015
Abstract
A new offline current modulation using a neuro-fuzzy compensation scheme for torque-ripple reduction in switched reluctance motors is presented. The main advantage of the proposed technique is that the torque signal is unnecessary. The compensating signal is learned prior to normal operation in a self-commissioning run, capturing the necessary current shape to reduce the torque ripple. Simulation results verify first the effects of speed and then load changes on the compensator performance. Implementation of the proposed technique in a laboratory prototype shows the feasibility and accuracy of the respective offline scheme.
Publication details
Authors in the community:
Paulo José da Costa Branco
ist13330
Title of the publication container
IEEE Transactions on Industrial Electronics
First page or article number
665
Last page
676
Volume
49
Issue
3
Fields of Science and Technology (FOS)
electrical-engineering-electronic-engineering-information-engineering - Electrical engineering, electronic engineering, information engineering
Publication language (ISO code)
eng - English
Rights type:
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