Design and parametric analysis of switched reluctance motor using adaptive FEA for torque ripple reduction Online publication date: Sun, 14-May-2023
by Avinash Kumar; Sanjay Marwaha; Manpreet Singh Manna
International Journal of Power and Energy Conversion (IJPEC), Vol. 13, No. 3/4, 2022
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.
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