改进的蚁群算法在低速永磁直线电机设计中的应用  

Application of Improved Ant Colony Algorithm in Low-speed Permanent Magnet Linear Motor Design

作　　者：魏华生[1] 程志平[1] 焦留成[1] 霍海娟[1] 

机构地区：[1]郑州大学电气工程学院,郑州450001

出　　处：《微电机》2013年第1期9-12,共4页Micromotors

基　　金：国家自然科学基金项目(61075071);河南自然科学基金(2010A470006/2011A470010);郑州市科技局项目(10PTGG380-1)

摘　　要：本文结合电磁减速式永磁直线电机的特点,将横向励磁的永磁体等效后的磁势进行傅里叶变换,并分析其在气隙中形成的高次行波磁场,采用许可变换分析定子开槽对气隙磁密的影响,再根据构建的电机模型推导出目标函数。在应用蚁群算法对电机参数优化时,采用将信息素释放在城市中的方法,并且通过限制优化变量的范围来减少城市的数目,最后论证改进的蚁群算法优化电机的合理性和有效性。In this paper, combining with the characteristics of the electromagnetic deceleration type perma- nent magnet linear motor, the permanent was equivalent, it＇s used Fourier translation to analyze the high time traveling wave Magnetic field in the air gap, then used Schwarz-Christofell transform to analysis the in- fluence of stator slot. The model can deduce out object function, when applying the ant colony algorithm to optimize the parameter of motor, adopting the method which can release the information element in the city, and limiting the range of the optimized variables to reduce the number of city, at last the experiment results show that the algorithm is feasibility and validity.

关 键 词：蚁群算法 电机优化 气隙磁密 

分 类 号：TM351[电气工程—电机] TM359.4