Cogging torque prediction for mass-produced axial flux PMSM stators

Travis Brown; Greg Heins; Simon Hobbs; Mark Thiele; James Davey

doi:10.1109/IEMDC.2011.5994847

Cogging torque prediction for mass-produced axial flux PMSM stators

Travis Brown, Greg Heins, Simon Hobbs, Mark Thiele, James Davey

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

Abstract

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.

Original language	English
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	https://doi.org/10.1109/IEMDC.2011.5994847
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
Period	15/05/11 → 18/05/11

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10.1109/IEMDC.2011.5994847

Cite this

@inproceedings{196061593dec427e82a4ddf4435bf3e1,

title = "Cogging torque prediction for mass-produced axial flux PMSM stators",

abstract = "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. ",

keywords = "Axial flux, Axial flux permanent magnet, Cogging torque, Image processing technique, Manufacturing errors, Manufacturing process, Process capabilities, Scanned images, Slot width, Superposition method, Electric drives, Electric machinery, Image processing, Manufacture, Permanent magnets, Production engineering, Stators, Synchronous motors, Torque",

author = "Travis Brown and Greg Heins and Simon Hobbs and Mark Thiele and James Davey",

year = "2011",

doi = "10.1109/IEMDC.2011.5994847",

language = "English",

isbn = "978-1-4577-0060-6",

pages = "206--211",

booktitle = "2011 IEEE International Electric Machines & Drives Conference",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States",

note = "IEEE International Electric Machines & Drives Conference 2011 ; Conference date: 15-05-2011 Through 18-05-2011",

}

Brown, T, Heins, G, Hobbs, S, Thiele, M & Davey, J 2011, Cogging torque prediction for mass-produced axial flux PMSM stators. in 2011 IEEE International Electric Machines & Drives Conference. IEEE, Institute of Electrical and Electronics Engineers, New Jersey, USA, pp. 206-211, IEEE International Electric Machines & Drives Conference 2011, 15/05/11. https://doi.org/10.1109/IEMDC.2011.5994847

Cogging torque prediction for mass-produced axial flux PMSM stators. / Brown, Travis; Heins, Greg; Hobbs, Simon et al.
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 › 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

T2 - IEEE International Electric Machines & Drives Conference 2011

Y2 - 15 May 2011 through 18 May 2011

ER -

Cogging torque prediction for mass-produced axial flux PMSM stators

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