Design and vibration analysis on EMS by using Block Lanczos method for humanoid robotics arm applications

Vijayakumar, A.; Prabhu, S.

doi:10.1007/s12008-022-00960-8

Cited by 14 publications

(1 citation statement)

References 18 publications

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“…The d-q parameters and phase flux linkage harmonics are studied to relate between the d-q parameters and torque ripple. The winding placement in a 6-pole 12-slot SRM is considered in the study, for ripple torque optimization, to distribute the electromagnetic field equally, and to reduce the vibrations [5,6]. The electromagnetic exciting force of an Integrated Starter and Generator is reduced which results in Noise and Vibrations caused from the tangential, radial force and torque ripples of the ISG.…”

Section: Introductionmentioning

confidence: 99%

Finite Element Analysis on Doubly Salient Singly Excited Machine for Electrified Transportation Systems

Sundaramoorthy,

Arun,

Mahadevan

et al. 2023

PIER C

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Doubly Salient Singly Excited Machine (DSSEM) inbuilt with the features as high torque density, high speed density, compactness, low maintenance, but the machine reduces its application due to its demerits as torque ripple. This study enhances the performance of switched reluctance motor (SRM) in the track of electromagnetic and mechanical characteristics. A 290 Volts, 10 Amps, 3000 rpm, 4 N-m SRM undergoes finite element (FE) characterization in the view of parameters like torque ripple. In the regard of torque characterization, the ripple torque is estimated under rated condition. FE analysis gives accurate results by 2D analysis. Torque ripple is the main concern in electrical machines, because these two are responsible for producing harmonics, vibration, and noise. So, a novel machine is designed to reduce the torque ripple content. The losses are considered as heat generation as a source of temperature rise in a motor, and the heat distribution is analyzed. The experimental setup is arranged to evaluate the simulation results with the current profile of FE analysis and prototype for verification.

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Section: Introductionmentioning

confidence: 99%