Optimal brushless DC motor design using genetic algorithms

被引:59
作者
Rahideh, A. [1 ]
Korakianitis, T. [1 ]
Ruiz, P. [1 ]
Keeble, T. [2 ]
Rothman, M. T. [2 ]
机构
[1] Univ London, Dept Engn, London E1 4NS, England
[2] London Chest Hosp, Barts & London NHS Trust, London E2 9JX, England
关键词
Optimization; Brushless DC; Motor; Slotless; Radial flux; Genetic algorithm; Surface mounted; Magnet; MAGNETIC-FIELD DISTRIBUTION; LOSSES;
D O I
10.1016/j.jmmm.2010.07.025
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper presents a method for the optimal design of a slotless permanent magnet brushless DC (BLDC) motor with surface mounted magnets using a genetic algorithm. Characteristics of the motor are expressed as functions of motor geometries. The objective function is a combination of losses, volume and cost to be minimized simultaneously. Electrical and mechanical requirements (i.e. voltage, torque and speed) and other limitations (e.g. upper and lower limits of the motor geometries) are cast into constraints of the optimization problem. One sample case is used to illustrate the design and optimization technique. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:3680 / 3687
页数:8
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