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1.北京航空航天大学 惯性技术重点实验室, 北京 100191
2.北京航空航天大学 新型惯性仪表与导航系统技术国防重点学科实验室, 北京 100191
3.北京市高速磁悬浮电机技术及应用工程技术研究中心, 北京 100191
[ "韩邦成 (1974-),男,辽宁灯塔人,博士,研究员,2004年于中国科学院长春光学精密机械与物理研究所获得博士学位,主要从事磁悬浮技术及应用、磁悬浮电机、磁悬浮飞轮及磁悬浮控制力矩陀螺技术等机电一体化技术的研究。E-mail:hanbangcheng@buaa.edu.cn" ]
[ "薛庆昊 (1990-), 男, 北京人, 硕士研究生, 2014年于北京科技大学获得学士学位, 主要从事高速磁悬浮电机设计与优化的研究。E-mail:qinghaoxue@163.com" ]
收稿日期:2016-10-11,
录用日期:2016-11-17,
纸质出版日期:2017-03-25
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韩邦成, 薛庆昊, 刘旭. 高速磁悬浮永磁电机多物理场分析及转子损耗优化[J]. 光学 精密工程, 2017,25(3):680-688.
Bang-cheng HAN, Qing-Hao XUE, Xu LIU. Multi-physics analysis and rotor loss optimization of high-speed magnetic suspension PM machine[J]. Optics and precision engineering, 2017, 25(3): 680-688.
韩邦成, 薛庆昊, 刘旭. 高速磁悬浮永磁电机多物理场分析及转子损耗优化[J]. 光学 精密工程, 2017,25(3):680-688. DOI: 10.3788/OPE.20172503.0680.
Bang-cheng HAN, Qing-Hao XUE, Xu LIU. Multi-physics analysis and rotor loss optimization of high-speed magnetic suspension PM machine[J]. Optics and precision engineering, 2017, 25(3): 680-688. DOI: 10.3788/OPE.20172503.0680.
为提高高速磁悬浮永磁电机的综合性能,得到最优的设计参数,针对一台30 kW,48 000 rpm的磁悬浮电机进行了电磁场、转子动力学以及转子强度分析,提出一种基于多物理场分析结果的电机尺寸优化方法。使用ANSYS以及ANSOFT对电机进行建模和有限元分析,并用ISIGHT软件进行集成优化设计。以转子损耗最小为优化目标,电机几何尺寸为设计变量,在优化过程中考虑尺寸变化对电机转子模态以及强度的影响,以尺寸、电机电磁性能、力学性能等为约束条件。经过优化后,电机的转子损耗减小16.7%,其余性能均符合设计要求。根据优化设计结果加工了样机并进行电机对拖与温升实验,结果证明了优化设计的合理性,验证了本文提出方法的正确性。
To improve the overall performance of high-speed magnetic suspension PM machine and obtain the optimal design parameters
an electromagnetic filed
rotor dynamics and rotor strength analysis was conducted on a magnetic suspension machine (30 kW
48 000 rpm)
and a size optimization method based on such multi-physics analysis was put forward. Used ANSYS and ANSOFT to carry out modeling and finite element analysis on the motor
and then completed the integrated optimization designed by adopting the ISIGHT software
taking the impact of dimensional change on the rotor model and rotor strength into consideration
with the minimum rotor loss as the optimization goal
geometric dimension of the motor as the design variable
and dimension
magnetic performance and mechanical performance as the constraint conditions. After such optimization
rotor loss of the motor was decreased by 16.7%
with other performances in compliance with the design requirements. Then a back-to-back test and temperature rise test were carried out in the model machine based on the optimization design results. The test results verify the reasonability of such optimization design and correctness of the method put forward in this paper.
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