摘要
针对传统多齿开关磁链永磁电机在弱磁区运行效率低的问题,设计了一种新型多齿开关磁链永磁记忆(MSFPMM)电机。在传统多齿开关磁链永磁电机中,使用了磁化水平和磁化方向可以在线改变的低矫顽力永磁体;通过在该电机的励磁绕组中通入电流脉冲,改变了低矫顽力永磁体的磁化水平和磁化方向,实现了高速区弱磁;利用有限元法分析了该电机中低矫顽力永磁体处于不同磁化状态时,MSFPMM电机的气隙磁密、空载反电动势、转矩/转速特性以及运行效率;制作了MSFPMM样机,对MSFPMM电机的电磁特性进行实验验证。研究结果表明:当MSFPMM电机的气隙磁密减弱时,该电机的高效率区会向高转速、低转矩区移动;MSFPMM电机具有比传统多齿开关磁链永磁电机更高的弱磁区运行效率。
Aiming at the problem of low efficiency of conventional multi-tooth switched flux permanent magnet machine in flux weakening region, a novel multi-tooth switched flux permanent magnet memory(MSFPMM) machine was developed. In the MSFPMM machine, the on-line magnetization and demagnetization can be achieved by using the permanent magnets with low coercive force. Thus, the air-gap flux density can be reduced by changing the magnetization state of low coercive force permanent magnet with current pulse in the DC field winding. The performance such as the air-gap flux density, back-EMF, torque-speed characteristics and efficiency in the MSFPMM machine with different magnetization states was investigated by finite element analysis. A prototype MSFPMM machine was built to verify the machine performance. The results indicate that in the MSFPMM machine the efficiency in high speed and low torque region increases when the air-gap flux density is reduced. Furthermore, the MSFPMM machine exhibits higher efficiency in flux weakening region compared with the conventional multi-tooth switched flux permanent magnet machine.
作者
刘岩岩
刘旭
张晨光
孙朝勇
LIU Yan-yan;LIU Xu;ZHANG Chen-guang;SUN Chao-yong(State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Tianjin 300130, China;Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province, Tianjin 300130, China;School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, China)
出处
《机电工程》
CAS
北大核心
2019年第10期1099-1104,共6页
Journal of Mechanical & Electrical Engineering
基金
国家自然科学基金资助项目(51507045)
天津市自然科学基金资助项目(16JCYBJC00)
关键词
多齿开关磁链永磁记忆电机
记忆电机
效率
multi-tooth switched flux permanent magnet memory(MSFPMM) machine
memory machine
efficiency