@inproceedings{fe53c97049d8488ebdd8245c0c5f5e0b,
title = "Principal component optimization with mesh adaptive direct search for optimal design of permanent magnet synchronous machine",
abstract = "Optimal design of Permanent Magnet Synchronous Machine (PMSM) based on Finite Element Analysis (FEA) calls for huge computational time for high accuracy. Therefore, it is essential to select appropriate optimization algorithm. This paper presents the principal component optimization based on principal component analysis with mesh adaptive direct search to improve computation time and reliability of convergence to global optimum. It is verified through a benchmark function and applied to optimal design of PMSM for minimization of torque ripple based on FEA.",
keywords = "AC machines, Finite element analysis, Optimization methods, Permanent magnet machine",
author = "Seo, \{Myung Ki\} and Lee, \{Tae Yong\} and Kim, \{Jong Wook\} and Kim, \{Yong Jae\} and Jung, \{Sang Yong\}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 17th Biennial IEEE Conference on Electromagnetic Field Computation, IEEE CEFC 2016 ; Conference date: 13-11-2016 Through 16-11-2016",
year = "2017",
month = jan,
day = "12",
doi = "10.1109/CEFC.2016.7816308",
language = "English",
series = "IEEE CEFC 2016 - 17th Biennial Conference on Electromagnetic Field Computation",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "IEEE CEFC 2016 - 17th Biennial Conference on Electromagnetic Field Computation",
}
