System-Level Robust Design Optimization of a Permanent Magnet Motor Under Design Parameter Uncertainties

In the presence of design parameter uncertainties, a system-level robust design optimization (RDO) method for a permanent magnet motor is proposed to enhance the dynamic and steady performances of a whole motor drive system. To achieve the goal, the influence of individual motor parameters on transi...

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Bibliographic Details
Published in:IEEE transactions on magnetics 2023-05, Vol.59 (5), p.1-4
Main Authors: Mun, Jaegyeong, Choi, K. K., Kim, Dong-Hun
Format: Article
Language:English
Subjects:
Design optimization
Design parameters
Electromagnetics
Finite element method
Fluctuations
Inductance
Magnetism
Material properties
Motor drives
Operating temperature
optimization
Parameter uncertainty
Permanent magnet motors
Permanent magnets
reliability
Robust design
robustness
Synchronous motors
Taguchi methods
Temperature
Temperature dependence
Torque
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Description
Summary:In the presence of design parameter uncertainties, a system-level robust design optimization (RDO) method for a permanent magnet motor is proposed to enhance the dynamic and steady performances of a whole motor drive system. To achieve the goal, the influence of individual motor parameters on transient system responses is first investigated with the method of Taguchi experimental planning. The temperature-dependent material property of each motor component is then examined around an operating temperature. A conventionally customized motor drive system is fully simulated based on the finite element method. Finally, it is optimized by the univariate dimension reduction method (DRM) to ensure the robustness of system performances against the manufacturing tolerance and operating temperature fluctuation.
ISSN:0018-9464
1941-0069
DOI:10.1109/TMAG.2023.3247481