改善微型永磁电机振动特性的设计方法  

Vibration Optimization of Micro Permanent Magnet Motor Based on MOGA

作　　者：李骜 冯桑[1] 梁一意 黄晓涛 LI Ao;FENG Sang;LIANG Yiyi;HUANG Xiaotao(Guangdong University of Technology,Guangzhou 510006,China)

机构地区：[1]广东工业大学,广州510006

出　　处：《机械设计与研究》2023年第5期63-66,71,共5页Machine Design And Research

基　　金：广东工业大学创新创业训练项目(xj2023118450015)。

摘　　要：微型永磁电机的磁场结构决定电机基本性能,直接影响其振动特性。以4极10槽表贴式永磁直流电机为例,提出一种振动优化方法。先构建电机整机三维模型,进行模态分析。其次对电机进行二维电磁仿真,分析电机截面磁密分布等特征。而后将作用在环形永磁体内表面的电磁仿真数据耦合到三维模型,对电机进行振动响应分析,探究极弧系数对振动加速度及振幅的影响,并结合理论和实验验证。最后以偏心距与极弧系数为设计变量,以电机整机最大振动加速度及最大振幅为目标函数,利用试验设计点生成响应面,应用MOGA算法进行优化,优化后振动大幅减小。文中的工作为永磁直流电机振动优化提供了新思路。The magnetic structure of a micro permanent magnet motor fundamentally influences the performance of the motor and the vibrational characteristics.This work takes a surface mounted permanent magnet motor with 4 poles and 10 slots as an example and presents a method to optimize the vibration.Firstly,a three-dimensional model of the machine is constructed for mode analysis..Secondly,the two-dimensional electromagnetic simulation of the motor is carried out,and the magnetic density distribution of the motor section is analyzed.Then,the electromagnetic simulation data acting on the inner surface of the annular permanent magnet is coupled to the three-dimensional model,and the vibration response of the motor is analyzed,and the influence of polar arc coefficient on vibration acceleration and amplitude is explored,and verified by combining theory and experiment.Finally,with the eccentricity and polar arc coefficient as the design variables,with the maximum vibration acceleration and maximum amplitude of the motor as the objective function,the response surface is generated using the test design point,and the MOGA algorithm is applied to optimize,and the vibration is significantly reduced after optimization.The work in this paper provides a new idea for the vibration optimization of permanent magnet DC motors.

关 键 词：永磁直流电机 多物理场耦合 振动优化 MOGA 

分 类 号：TM381[电气工程—电机]