摘要
研究了钕铁硼永磁低速同步电动机的优点,对其径向充磁式结构及其优点做了介绍;并针对钕铁硼永磁体价格较贵的问题,提出一种遗传算法与复合形法相结合的混合优化算法,即保证优化的全局收敛,又能提高优化的快速性;本文建立了数学模型,绘出了主程序、遗传算法、复合形法的流程图;并利用混合优化算法对某一型号径向钕铁硼永磁低速同步电动机进行了优化。优化结果表明,优化后不仅使永磁材料用量减少,而且电机的性能指标也有所提高。
This article introduced the merits of neodymium iron boron permanent magnetism low speed synchronous motor, and also introduced the radial direction magnetized structure and its merits simply; And mainly aiming at the problem that the neodymium iron boron permanent magnet is expensive, we proposed one kind of optimization algorithm that genetic algorithms and complex algorithms are mixed, which not only guarantees the whole astringency, but also enhances the rapidity of optimization. This ar- ticle has established the mathematical model and drawn the flow charts of the main program, the genetic algorithms and the complex method. And carried on the optimization with the mix optimization algorithm to some type radial direction neodymium iron boron permanent magnetism low speed synchronous motor, the optimize results indicate that not only the amount of permanent - magnet material decreased, but also the motor performance index improved.
出处
《长春理工大学学报（自然科学版）》
2006年第3期27-30,共4页
Journal of Changchun University of Science and Technology(Natural Science Edition)
关键词
低速电机
NDFEB永磁体
遗传算法
复合型法
混合优化
low speed electrical machinery
NdFeB permanent magnet
genetic algorithms
multi - skill
mix optimization.
