Title :
Efficiency optimization of interior permanent magnet synchronous motor using genetic algorithms
Author :
Sim, Dong-Joon ; Cho, Dong-Hyeok ; Chun, Jang-Sung ; Jung, Hyun-Kyo ; Chung, Tae-Kyoung
Author_Institution :
Steel Process Div., RIST, Pohang, South Korea
fDate :
3/1/1997 12:00:00 AM
Abstract :
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
Keywords :
design engineering; finite element analysis; genetic algorithms; machine theory; permanent magnet motors; synchronous motors; FEM; air gap flux density; d, q axis inductances; design variables; efficiency optimization; genetic algorithms; interior permanent magnet synchronous motor; objective function; optimal design method; performance prediction; Design engineering; Design optimization; Finite element methods; Genetic algorithms; Genetic engineering; Genetic mutations; Permanent magnet motors; Steel; Stochastic processes; Synchronous motors;
Journal_Title :
Magnetics, IEEE Transactions on
