Title: Design and parametric analysis of switched reluctance motor using adaptive FEA for torque ripple reduction

Authors: Avinash Kumar; Sanjay Marwaha; Manpreet Singh Manna

Addresses: Sant Longowal Institute of Engineering and Technology, Longowal, Punjab, India ' Sant Longowal Institute of Engineering and Technology, Longowal, Punjab, India ' Sant Longowal Institute of Engineering and Technology, Longowal, Punjab, India

Abstract: Switched reluctance motors possesses ripples in moving torque characteristics that are a common source of acoustic noise and vibrations, which can lead to an eccentric fault in the machine and necessitate bearing repair on a regular basis. Because of the pole saliency, the torque generating mechanism of the SRM is discrete and highly nonlinear, resulting in shaft torque pulsation. The goal of this article is to reduce torque ripple and increase the SRM's average torque used for water pumping application. This work performed the parametric analysis of 12/8 pole SRM model for different pair of stator and rotor pole embrace factors. Ansys Maxwell has been used to perform the finite element analysis of the test models. Refinement of models using h-adaptivity has been done in order to improve the accuracy of designed models. With enhanced average torque, the designed model offers significant torque ripple mitigation.

Keywords: average torque; finite element method; parametric analysis; switched reluctance motor; torque ripple.

DOI: 10.1504/IJPEC.2022.130948

International Journal of Power and Energy Conversion, 2022 Vol.13 No.3/4, pp.209 - 223

Received: 03 Aug 2022
Accepted: 22 Dec 2022
Published online: 14 May 2023 *

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