Efficiency optimization of interior permanent magnet synchronous motor using genetic algorithms

Autor:	Dong-Joon Sim, Hyun-Kyo Jung, Tae-Kyoung Chung, Jang-Sung Chun, Dong-Hyeok Cho
Rok vydání:	1997
Předmět:	Permanent magnet synchronous motor Control theory Computer science Genetic algorithm Air gap flux density Electrical and Electronic Engineering Synchronous motor Finite element method Electronic Optical and Magnetic Materials
Zdroj:	IEEE Transactions on Magnetics. 33:1880-1883
ISSN:	0018-9464
DOI:	10.1109/20.582651
Popis:	This paper presents an optimal design method to maximize the efficiency of the interior permanent magnet synchronous motor. To do this, the efficiency of the motor is taken as the objective function, and the genetic algorithm is used as the optimization algorithm to find the optimal design variables of the objective function. To make a more accurate prediction of performance possible, the air gap flux density and d, q axis inductances obtained by an analytical method are compensated by using the results from FEM studies.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4ae57941b1b67bd50f6f8d0bd89c8170 https://doi.org/10.1109/20.582651 Zobrazit plný text záznamu