Abstract
Original language | English |
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Title of host publication | 2011 IEEE International Electric Machines & Drives Conference |
Place of Publication | New Jersey, USA |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 206-211 |
Number of pages | 6 |
ISBN (Print) | 978-1-4577-0060-6 |
DOIs | |
Publication status | Published - 2011 |
Event | IEEE International Electric Machines & Drives Conference 2011 - Ontario, Canada Duration: 15 May 2011 → 18 May 2011 |
Conference
Conference | IEEE International Electric Machines & Drives Conference 2011 |
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Period | 15/05/11 → 18/05/11 |
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Cogging torque prediction for mass-produced axial flux PMSM stators. / Brown, Travis; Heins, Greg; Hobbs, Simon; Thiele, Mark; Davey, James.
2011 IEEE International Electric Machines & Drives Conference. New Jersey, USA : IEEE, Institute of Electrical and Electronics Engineers, 2011. p. 206-211.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › Research › peer-review
TY - GEN
T1 - Cogging torque prediction for mass-produced axial flux PMSM stators
AU - Brown, Travis
AU - Heins, Greg
AU - Hobbs, Simon
AU - Thiele, Mark
AU - Davey, James
PY - 2011
Y1 - 2011
N2 - Stator manufacturing processes for axial flux permanent magnet synchronous motors (AFPMSM) are susceptible to variation leading to cogging torque. To date, there are no methods which synthesize cogging torque based on stator manufacturing errors. This paper presents a superposition method based on stator geometry to predict critical cogging harmonics for AFPMSM stators. Geometry is obtained using image processing techniques on a scanned image of the stator. The proposed method has been validated by comparison with experimental cogging torque data. A correlation of 0.82 linear regression was found using the method proposed in this paper. Process capability was tested by measuring slot widths and checking deviation.
AB - Stator manufacturing processes for axial flux permanent magnet synchronous motors (AFPMSM) are susceptible to variation leading to cogging torque. To date, there are no methods which synthesize cogging torque based on stator manufacturing errors. This paper presents a superposition method based on stator geometry to predict critical cogging harmonics for AFPMSM stators. Geometry is obtained using image processing techniques on a scanned image of the stator. The proposed method has been validated by comparison with experimental cogging torque data. A correlation of 0.82 linear regression was found using the method proposed in this paper. Process capability was tested by measuring slot widths and checking deviation.
KW - Axial flux
KW - Axial flux permanent magnet
KW - Cogging torque
KW - Image processing technique
KW - Manufacturing errors
KW - Manufacturing process
KW - Process capabilities
KW - Scanned images
KW - Slot width
KW - Superposition method
KW - Electric drives
KW - Electric machinery
KW - Image processing
KW - Manufacture
KW - Permanent magnets
KW - Production engineering
KW - Stators
KW - Synchronous motors
KW - Torque
U2 - 10.1109/IEMDC.2011.5994847
DO - 10.1109/IEMDC.2011.5994847
M3 - Conference Paper published in Proceedings
SN - 978-1-4577-0060-6
SP - 206
EP - 211
BT - 2011 IEEE International Electric Machines & Drives Conference
PB - IEEE, Institute of Electrical and Electronics Engineers
CY - New Jersey, USA
ER -