Managing Uncertainties of Permanent Magnet Synchronous Machine by Adaptive Kriging Assisted Weight Index Monte Carlo Simulation Method

For electromagnetic devices, there exist many uncertainty sources during design stage, performance simulation, components manufacturing and assembling. These uncertainties may deteriorate the practical operation performance of electrical machines from the designed one or result in violation of const...

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Bibliographic Details
Published in:IEEE transactions on energy conversion 2020-12, Vol.35 (4), p.2162-2169
Main Authors: Ren, Ziyan, Ma, Jiangang, Qi, Yanli, Zhang, Dianhai, Koh, Chang-Seop
Format: Article
Language:English
Subjects:
Adaptation models
Adaptive algorithms
Adaptive sampling
Cogging
Computer simulation
Design optimization
Life cycle engineering
Magnetism
Monte Carlo methods
Monte Carlo simulation
Optimization
Permanent magnet motors
permanent magnet synchronous machine
Permanent magnets
Reliability analysis
Reliability engineering
reliability-based design optimization
Robustness
Synchronous machines
Synchronous motors
Uncertainty
Weight
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Summary:For electromagnetic devices, there exist many uncertainty sources during design stage, performance simulation, components manufacturing and assembling. These uncertainties may deteriorate the practical operation performance of electrical machines from the designed one or result in violation of constraint conditions to a certain extent. To improve robust performance of a permanent magnet synchronous machine (PMSM), uncertainties should be taken into account in its whole life cycle. To manage uncertainties in the design stage of electrical machines, this paper makes some explorations of reliability-based optimal design. Firstly, the basic knowledge of reliability based algorithm is reviewed. Then the efficient adaptive sampling strategy and the surrogate model construction approach are introduced to reliability analysis. Based on these strategies, the new reliability analysis approach is named adaptive Kriging assisted weight index Monte Carlo simulation method. Finally, the new approach is applied to reliability-based optimal design of permanent magnet synchronous motor for cogging torque reduction.
ISSN:0885-8969
1558-0059
DOI:10.1109/TEC.2020.3009249