2016
DOI: 10.1109/tec.2016.2598649
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Analytical Prediction of Torque Ripple in Surface-Mounted Permanent Magnet Motors Due to Manufacturing Variations

Abstract: In the production of Surface-Mounted Permanent Magnet machines, manufacturing tolerances also contribute to torque ripple. Additional harmonics of low electrical orders are created in the torque spectrum. Slight manufacturing variations develop asymmetry conditions in the rotor as well as in the stator. Finite element models can be used to analyze the magnitude of pulsating torque generated due to these asymmetries. However, due to its random nature, lack of periodicity and symmetry, it is time consuming to st… Show more

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Cited by 43 publications
(17 citation statements)
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“…Of course, this has led to giving more attention to the rotor cage design in order to ensure that the permanent magnets that are closer to the air gap do not have an adverse impact on the motor start. The torque fluctuations due to the impact of the permanent magnets are another issue that should be taken into consideration [31,32].…”
Section: Rotor Designmentioning
confidence: 99%
“…Of course, this has led to giving more attention to the rotor cage design in order to ensure that the permanent magnets that are closer to the air gap do not have an adverse impact on the motor start. The torque fluctuations due to the impact of the permanent magnets are another issue that should be taken into consideration [31,32].…”
Section: Rotor Designmentioning
confidence: 99%
“…The effect of manufacturing variations on the torque ripple and unbalanced magnetic pulling (UMP) has been studied in Ortega and Xu using an analytical model.…”
Section: Introductionmentioning
confidence: 99%
“…The models presented in previous studies have not been focused on the eccentricity fault effects on the machine voltages or currents. However, the models can help designers to quickly understand the origin of cogging and ripple torque harmonics in any stage of design process, without proposing asymmetrical models and solving them through finite element method.…”
Section: Introductionmentioning
confidence: 99%
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