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

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초록

In the presence of design parameter uncertainties, a system-level robust design optimization (RDO) method for a permanent magnet motor is proposed to enhance steady and dynamic performances of the whole motor drive system. To achieve the goal, the influence of individual motor parameters on transient system responses is investigated essentially. Then material characteristic of each motor component due to the operating temperature fluctuation is examined as well. Finally, a conventionally customized motor drive system is fully simulated based on the finite element method, and the motor is optimized by the univariate dimension reduction method (uDRM).

키워드

electromagnetics; optimization; reliability theory; robustness
제목
System-Level Robust Design Optimization of a Permanent Magnet Motor Under Design Parameter Uncertainties
저자
Mun, Jaegyeong; Choi, K. K.; Kim, Dong-Hun
DOI
10.1109/CEFC55061.2022.9940728
발행일
2022
유형
Proceedings Paper
저널명
TWENTIETH BIENNIAL IEEE CONFERENCE ON ELECTROMAGNETIC FIELD COMPUTATION (IEEE CEFC 2022)