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Investigation of optimal control for vibration and noise reduction in-wheel switched reluctance motor used in electric vehicle

Ali Rezig, Wafa Boudendouna, Abdesslem Djerdir and N’Diaye, Abdoul

Mathematics and Computers in Simulation (MATCOM), 2020, vol. 167, issue C, 267-280

Abstract: 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 electro-mechanical-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.

Keywords: Electric vehicle; Switched reluctance motor; Vibration; Noise; Magnetic force; Half bridge converter; Two step commutation; No linear modeling; FEM modeling (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:167:y:2020:i:c:p:267-280

DOI: 10.1016/j.matcom.2019.05.016

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