Multiobjective optimal design of interior permanent magnet synchronous motors considering improved core loss formula

Author

Cho, Dong-Hyeok ; Jung, Hyun-Kyo ; Sim, Dong-Soon

Author_Institution

Sch. of Electr. Eng., Seoul Nat. Univ., South Korea

Volume

14

Issue

4

fYear

1999

fDate

12/1/1999 12:00:00 AM

Firstpage

1347

Lastpage

1352

Abstract

This paper describes the optimal design of interior permanent magnet synchronous motors for which two objective functions regarding motor efficiency and weight are used. Multiobjective optimization technique is applied to finding the optimal solution in this case. An optimal design method that determines both the noninferior solution set and the best compromise solution employing a modified genetic algorithm is proposed. The proposed algorithm adopts the structure of the conventional genetic algorithm, but fitness value and convergence criterion are redefined and some major parameters of the algorithm are adjusted to the multiobjective optimization. In order to predict the motor performance more accurately, a core loss formula is derived considering the flux variation due to the stator currents as well as that due to the magnet

Keywords

genetic algorithms; magnetic cores; magnetic leakage; permanent magnet motors; stators; synchronous motors; best compromise solution; convergence criterion; core loss formula; fitness value; flux variation; interior permanent magnet synchronous motors; modified genetic algorithm; motor efficiency; motor weight; multiobjective optimal design; noninferior solution set; objective functions; stator currents; Algorithm design and analysis; Core loss; Electric machines; Genetic algorithms; Induction motors; Magnetic flux; Performance loss; Permanent magnet motors; Stator cores; Synchronous motors;

fLanguage

English

Journal_Title

Energy Conversion, IEEE Transactions on

Publisher

ieee

ISSN

0885-8969

Type

jour

DOI

10.1109/60.815071

Filename

815071