遗传算法在永磁直线同步电动机设计中的应用  

Application of Genetic Algorithm in Permanent Magnet Linear Synchronous Motor's Optimization Design

作　　者：封孝辉[1] 付子义[1] 吕刚[1] 杨海柱[1] 

机构地区：[1]焦作工学院电气工程系,河南焦作454000

出　　处：《微电机》2003年第2期13-15,20,共4页Micromotors

摘　　要：永磁直线同步电动机是一种结构新颖 ,具有广阔发展前景的新型电机 ,但其电磁场计算比较复杂 ,因而电机优化设计也比较困难。文中在对电机内电磁场分析、计算的基础上 ,利用新兴的遗传算法并将其改进 ,应用到永磁直线同步电动机的优化设计中。实验结果表明 ,基于遗传算法的永磁直线同步电动机优化设计方法得到了令人满意的结果 ,为永磁直线同步电动机的分析和设计开辟了一个新的途径 。PMLSM(permanent magnet linear synchronous motor)that has a new structure and wide development promise is a new type motor, but calculations of internal magnet field are very complex, so the optimal design is also very difficult. in this paper, base on analysises and calculations of magnet field, took use of new genetic algorithms and improved it, applied improved genetic algorithms to the design optimization of PMLSM. It has been proved by experiments that satisfactory results can be obtained with the optimal design of PMLSM, which opens up a new way in the analysis and the sesign of PMLSM, has a great significance in the study and the application of PMLSM.

关 键 词：永磁直线同步电动机 设计 遗传算法 电磁场 物理模型 永磁电动机 直线电动机 

分 类 号：TM351[电气工程—电机] TM359.4