摘要
针对双定子磁通反向电机存在齿槽转矩过高,引起噪声振动的问题,采用阶梯形转子代替传统转子来削弱齿槽转矩。基于磁共能法,推导了双定子磁通反向电机齿槽转矩的解析模型,解释了阶梯形转子抑制齿槽转矩的原理。应用有限元方法,分别研究了各层阶梯块极弧系数对齿槽转矩和反电动势的影响。以齿槽转矩最小、反电动势谐波最小、反电动势幅值最大为综合优化目标,采用遗传算法,对不同层阶梯块的参数进行优化。结果表明,优化后的电机齿槽转矩降低了95.7%,额定负载时转矩波动从32%降低到2.4%,而平均转矩只下降了14.5%。
Aiming at the problems of high vibration and noise caused by high cogging torque in double stator flux reversal machine(DS-FRM),the method of using stepped rotor instead of traditional rotor to reduce cogging torque was investigated.An analytical expression of cogging torque for DS-FRM was derived based on co-energy method,the reasons for the reduction of cogging torque by using stepped rotor was explained based on the cogging torque expression.The influence of the width of each layer of the stepped rotor on the cogging torque and back electromotive force were investigated respectively by using finite element method.Multi-objective optimization of the parameters of different stepped blocks by genetic algorithm was used to achieve the smallest cogging torque,the smallest back-EMF harmonic,and the largest back-EMF amplitude.The results indicate that the optimized cogging torque is reduced by 95.7%,the torque ripple at rated load is reduced from 32%to 2.4%,while the average torque is only reduced by 14.5%.
作者
邹定琛
曹江华
ZOU Ding-chen;CAO Jiang-hua(School of Electrical Power,South China University of Technology,Guangzhou 510641,China)
出处
《微特电机》
2021年第3期11-16,共6页
Small & Special Electrical Machines
关键词
双定子磁通反向电机
阶梯形转子
齿槽转矩
遗传算法
double stator flux reversal machine(DS-FRM)
stepped rotor
cogging torque
genetic algorithm