New procedures for minimizing the torque ripple in switched reluctance motors by optimizing the phase-current profile

Natan Tzvi Shaked; Raul Rabinovici

doi:10.1109/TMAG.2004.843311

New procedures for minimizing the torque ripple in switched reluctance motors by optimizing the phase-current profile

Natan Tzvi Shaked, Raul Rabinovici

Department of Electrical & Computer Engineering

Research output: Contribution to journal › Article › peer-review

86 Scopus citations

Abstract

This paper introduces five new optimization procedures for the minimization of the torque ripple in the switched reluctance motor (SRM). These new procedures are based on the optimization of the phase-current profile. Two optimization techniques, the simplex method and the genetic algorithm, are adapted to these optimization procedures. The paper compares an older optimization procedure, the optimum harmonic current injection procedure, and the new optimization procedure, and presents conclusions.

Original language	English
Pages (from-to)	1184-1192
Number of pages	9
Journal	IEEE Transactions on Magnetics
Volume	41
Issue number	3
DOIs	https://doi.org/10.1109/TMAG.2004.843311
State	Published - 1 Mar 2005

Keywords

Genetic algorithms
Optimization methods
Switched reluctance motors

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Electrical and Electronic Engineering

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10.1109/TMAG.2004.843311

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abstract = "This paper introduces five new optimization procedures for the minimization of the torque ripple in the switched reluctance motor (SRM). These new procedures are based on the optimization of the phase-current profile. Two optimization techniques, the simplex method and the genetic algorithm, are adapted to these optimization procedures. The paper compares an older optimization procedure, the optimum harmonic current injection procedure, and the new optimization procedure, and presents conclusions.",

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New procedures for minimizing the torque ripple in switched reluctance motors by optimizing the phase-current profile

Abstract

Keywords

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