@inproceedings{c55d6c13542549edb1fa7acdd890001e,
title = "System-Level Robust Design Optimization of a Permanent Magnet Motor Under Design Parameter Uncertainties",
abstract = "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).",
keywords = "electromagnetics, optimization, reliability theory, robustness",
author = "Jaegyeong Mun and Choi, {K. K.} and Kim, {Dong Hun}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 20th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2022 ; Conference date: 24-10-2022 Through 26-10-2022",
year = "2022",
doi = "10.1109/CEFC55061.2022.9940728",
language = "English",
series = "CEFC 2022 - 20th Biennial IEEE Conference on Electromagnetic Field Computation, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "CEFC 2022 - 20th Biennial IEEE Conference on Electromagnetic Field Computation, Proceedings",
address = "United States",
}