TY - GEN
T1 - A method to estimate the worst-case torque ripple under manufacturing uncertainties for permanent magnet synchronous machines
AU - Yang, Yongxi
AU - Bianchi, Nicola
AU - Bramerdorfer, Gerd
AU - Kong, Yong
AU - Zhang, Chengning
AU - Zhang, Shuo
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/10/11
Y1 - 2020/10/11
N2 - The influences of manufacturing uncertainties on the cogging torque of permanent-magnet (PM) motor have been widely examined, and they are usually estimated by calculating and comparing several design models featuring small deviations to their ideal counterpart. To achieve high quality of the analysis results within a reasonable calculation time, a suitable selection of design variants featuring uncertainties for evaluation are crucial. However, lack of knowledge of the relationship between torque variations and uncertainties, a proper selection is difficult to accomplish. In the previous work related to the worst-uncertain-combination-analysis (WUCA) method, efforts were made to reveal the relationship between the additional cogging torque harmonics and combinations of uncertainties. In this paper, the WUCA method is extended to estimate the on-load torque ripple performance under manufacturing uncertainties in this paper, and its effectiveness in terms of identifying the worst-case combinations is verified through finite element analysis.
AB - The influences of manufacturing uncertainties on the cogging torque of permanent-magnet (PM) motor have been widely examined, and they are usually estimated by calculating and comparing several design models featuring small deviations to their ideal counterpart. To achieve high quality of the analysis results within a reasonable calculation time, a suitable selection of design variants featuring uncertainties for evaluation are crucial. However, lack of knowledge of the relationship between torque variations and uncertainties, a proper selection is difficult to accomplish. In the previous work related to the worst-uncertain-combination-analysis (WUCA) method, efforts were made to reveal the relationship between the additional cogging torque harmonics and combinations of uncertainties. In this paper, the WUCA method is extended to estimate the on-load torque ripple performance under manufacturing uncertainties in this paper, and its effectiveness in terms of identifying the worst-case combinations is verified through finite element analysis.
KW - manufacturing tolerances
KW - robust optimization
KW - robustness evaluation
KW - tolerance analysis
KW - torque ripple
UR - http://www.scopus.com/inward/record.url?scp=85097162090&partnerID=8YFLogxK
U2 - 10.1109/ECCE44975.2020.9236291
DO - 10.1109/ECCE44975.2020.9236291
M3 - Conference contribution
AN - SCOPUS:85097162090
T3 - ECCE 2020 - IEEE Energy Conversion Congress and Exposition
SP - 4075
EP - 4082
BT - ECCE 2020 - IEEE Energy Conversion Congress and Exposition
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020
Y2 - 11 October 2020 through 15 October 2020
ER -
