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Acoustic noise prediction in a vector controlled induction machine

Martinez, David LU and Lai, J.C.S. (2003) International Electric Machines & Drives Conference In IEMDC'03. IEEE International Electric Machines and Drives Conference (Cat. No.03EX679) p.104-110
Abstract
The deterministic approach for the prediction of noise in electrical machines is generally based on the use of FEM/BEM models. Mechanical and electromagnetic properties included in these models, such as the damping or the BH curve, are difficult to estimate, compromising the accuracy in the noise prediction. Simulations showed that a 10% increase in the saturated part of the BH curve results in an increase of up to 3 dB in the sound power level, and that the sound power level could be reduced by up to 10 dB with a 5 times increase in the damping coefficient. The accuracy of the noise prediction was tested using a vector controlled drive with a very high PWM switching frequency. This system allowed the structure to be excited with the... (More)
The deterministic approach for the prediction of noise in electrical machines is generally based on the use of FEM/BEM models. Mechanical and electromagnetic properties included in these models, such as the damping or the BH curve, are difficult to estimate, compromising the accuracy in the noise prediction. Simulations showed that a 10% increase in the saturated part of the BH curve results in an increase of up to 3 dB in the sound power level, and that the sound power level could be reduced by up to 10 dB with a 5 times increase in the damping coefficient. The accuracy of the noise prediction was tested using a vector controlled drive with a very high PWM switching frequency. This system allowed the structure to be excited with the radial and tangential forces independently. Discrepancies between predictions and measurements of the sound power level at low frequencies have been attributed to the rotor and some stator/casing modes not being modeled, while at high frequencies, discrepancies are due to skewing of the rotor not being included in the model (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
PWM switching frequency, sound power level, BH curve, damping coefficient, electromagnetic properties, mechanical properties, FEM/BEM models, vector controlled induction machine, acoustic noise prediction, radial forces, tangential forces, rotor, stator
in
IEMDC'03. IEEE International Electric Machines and Drives Conference (Cat. No.03EX679)
pages
104 - 110
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
International Electric Machines & Drives Conference
external identifiers
  • WOS:000183794800015
  • Scopus:84865810732
ISBN
0-7803-7817-2
DOI
10.1109/IEMDC.2003.1211249
language
English
LU publication?
yes
id
b640d1bc-6f11-482e-93ec-79ab73eef1f2 (old id 611964)
date added to LUP
2007-11-30 14:11:59
date last changed
2016-10-13 04:49:14
@misc{b640d1bc-6f11-482e-93ec-79ab73eef1f2,
  abstract     = {The deterministic approach for the prediction of noise in electrical machines is generally based on the use of FEM/BEM models. Mechanical and electromagnetic properties included in these models, such as the damping or the BH curve, are difficult to estimate, compromising the accuracy in the noise prediction. Simulations showed that a 10% increase in the saturated part of the BH curve results in an increase of up to 3 dB in the sound power level, and that the sound power level could be reduced by up to 10 dB with a 5 times increase in the damping coefficient. The accuracy of the noise prediction was tested using a vector controlled drive with a very high PWM switching frequency. This system allowed the structure to be excited with the radial and tangential forces independently. Discrepancies between predictions and measurements of the sound power level at low frequencies have been attributed to the rotor and some stator/casing modes not being modeled, while at high frequencies, discrepancies are due to skewing of the rotor not being included in the model},
  author       = {Martinez, David and Lai, J.C.S.},
  isbn         = {0-7803-7817-2},
  keyword      = {PWM switching frequency,sound power level,BH curve,damping coefficient,electromagnetic properties,mechanical properties,FEM/BEM models,vector controlled induction machine,acoustic noise prediction,radial forces,tangential forces,rotor,stator},
  language     = {eng},
  pages        = {104--110},
  publisher    = {ARRAY(0x8f79068)},
  series       = {IEMDC'03. IEEE International Electric Machines and Drives Conference (Cat. No.03EX679)},
  title        = {Acoustic noise prediction in a vector controlled induction machine},
  url          = {http://dx.doi.org/10.1109/IEMDC.2003.1211249},
  year         = {2003},
}