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

Branco, PJ Costa; Walter Issamu Suemitsu; Luis Oscar de Araujo Porto Henriques — 2015

Key information

Authors:

Branco, PJ Costa (Paulo José da Costa Branco); Walter Issamu Suemitsu; Luís Guilherme Barbosa Rolim; Luis Oscar de Araujo Porto Henriques

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:

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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