Optimal Design of Interior PM Synchronous Machines Using Randomly Guided Mesh Adaptive Direct Search Algorithm

Author

Lee, Dongsu ; Jeon, Kyung-Won ; Jung, Sang-Yong ; Kim, Jong-Wook

Author_Institution

Sch. of Electron. & Electr. Eng., Sungkyunkwan Univ., Suwon, South Korea

fYear

2012

fDate

19-21 June 2012

Firstpage

1

Lastpage

4

Abstract

Interior PM Synchronous Machines (IPMSM) has characteristic of nonlinear magnetic saturation and many local optimal, have been focused on reducing computation time [1]-[2]. Hence, randomly guided MADS (Mesh Adaptive Direct Search) is newly implemented to reducing the excessive computation time. Optimization capability of the proposed randomly guided MADS is validated through two benchmark functions. In particular, it has been forwarded to optimal design of IPMSM for maximizing Maximum Torque per Ampere (MTPA) based on FEA (Finite Element Analysis).

Keywords

computational complexity; finite element analysis; optimisation; permanent magnet machines; search problems; synchronous machines; FEA; IPMSM optimal design; MTPA; benchmark functions; computation time reduction; finite element analysis; interior PM synchronous machines; maximum torque per ampere maximization; mesh adaptive direct search algorithm; nonlinear magnetic saturation; optimization capability; randomly guided MADS; Algorithm design and analysis; Convergence; Finite element methods; Optimization; Rotors; Synchronous machines; Torque;

fLanguage

English

Publisher

ieee

Conference_Titel

Electromagnetic Field Problems and Applications (ICEF), 2012 Sixth International Conference on

Conference_Location

Dalian, Liaoning

Print_ISBN

978-1-4673-1333-9

Type

conf

DOI

10.1109/ICEF.2012.6310418

Filename

6310418