Investigation of optimal control for vibration and noise reduction in-wheel switched reluctance motor used in electric vehicle
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Titre | Investigation of optimal control for vibration and noise reduction in-wheel switched reluctance motor used in electric vehicle |
Type de publication | Journal Article |
Year of Publication | 2020 |
Auteurs | Rezig A, Boudendouna W, Djerdir A, N'Diaye A |
Journal | MATHEMATICS AND COMPUTERS IN SIMULATION |
Volume | 167 |
Pagination | 267-280 |
Date Published | JAN |
Type of Article | Article; Proceedings Paper |
ISSN | 0378-4754 |
Mots-clés | Electric vehicle, FEM modeling, Half bridge converter, Magnetic force, No linear modeling, noise, Switched reluctance motor, Two step commutation, Vibration |
Résumé | In this paper, an appropriate control technique is investigated to reduce vibration and noise in switched reluctance motors (SRM). Vibrations are mainly caused by radial force acting on salient poles of the motor. In order to determine this force, a no linear model for switched reluctance motor is developed, based on finite element calculation of inductance and natural frequencies of stator. Thus, the force component at a frequency close to natural frequency of stator should be reduced. In this context, a method of two steps commutation is also applied. To verify the effectiveness of the proposed method, the electromechanical-acoustic developed model makes possible to define theoretical spectrum of vibration and noise with conventional and proposed method. The simulation results showed that the proposed method performs better in terms of vibration and noise reduction. (C) 2019 International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. All rights reserved. |
DOI | 10.1016/j.matcom.2019.05.016 |