A comparison of two modular linear permanent-magnet vernier(LPMV)machines is presented.A modular LPMV machine with a partitioned primary,which can significantly improve the modulation effect,is proposed.Benefitting fr...A comparison of two modular linear permanent-magnet vernier(LPMV)machines is presented.A modular LPMV machine with a partitioned primary,which can significantly improve the modulation effect,is proposed.Benefitting from the partition design,the space conflict between the permanent magnet(PM)and the armature magnetic field is relieved.First,the topologies of modular LPMV machines with and without a partitioned primary are presented.Then,the effect of the partitioned primary on the modular LPMV machine is analyzed using flux modulation theory.Moreover,analytical expressions for the trapezoidal permeance are derived.In addition,the harmonic components,back electromotive forces,and thrust forces of the machines with and without the partitioned primary are comparatively analyzed.The results reveal that the thrust force density of the LPMV machine with a partitioned primary is increased by 32.3%.Finally,experiments are performed on a prototype machine for validation.展开更多
In this paper, using axial field finite analysis method, the field of a movable core type linear oscillation motor is analyzed. The program of axial field finite analysis is worked out. Using this program, we analyze ...In this paper, using axial field finite analysis method, the field of a movable core type linear oscillation motor is analyzed. The program of axial field finite analysis is worked out. Using this program, we analyze various fields, including the field excited by permanent magnet materials, the field by two coils respectively, and the fields with the core moving to various positions.展开更多
针对永磁直线同步电机(permanent magnet linear synchronous machine,PMLSM)有限元仿真模型的计算时间长,不能直观地显示结构参数与输出推力的关系,无法指导电机结构参数优化等问题,提出基于子域解析法和深度神经网络算法的PMLSM改进...针对永磁直线同步电机(permanent magnet linear synchronous machine,PMLSM)有限元仿真模型的计算时间长,不能直观地显示结构参数与输出推力的关系,无法指导电机结构参数优化等问题,提出基于子域解析法和深度神经网络算法的PMLSM改进仿真模型,根据麦克斯韦方程组计算得到电机的磁通密度、空载反电势等性能数据,结合深度神经网络算法拟合出电机结构参数与输出推力的非线性关系。基于此模型,使用自适应遗传算法对PMLSM的推力密度进行优化,并与有限元仿真结果对比。结果表明:PMLSM改进仿真模型的计算速度是有限元模型的87.1倍,推力计算结果与有限元结果的平均误差为2.87%,优化后的电机推力密度提高了5.7%。展开更多
在有铁心永磁直线电机(permanent magnet linear machines,PMLM)初级匝间短路故障分析中,对初级短路环电流的分析十分重要。该文提出采用磁动势–气隙磁导模型与电枢绕组故障等效模型结合的解析方法,计算任意初级位置发生的匝间短路故...在有铁心永磁直线电机(permanent magnet linear machines,PMLM)初级匝间短路故障分析中,对初级短路环电流的分析十分重要。该文提出采用磁动势–气隙磁导模型与电枢绕组故障等效模型结合的解析方法,计算任意初级位置发生的匝间短路故障短路环电流。首先根据永磁、电枢磁动势与开槽情况下的气隙磁导函数分别计算通过短路环的永磁、电枢磁链,然后通过矢量合成法得到短路环中的实际磁链以及瞬时短路电流。基于有限元方法证明解析法的正确性并探究不同短路故障匝数、不同短路故障位置对电机性能如短路环电流、相电流、推力的影响。最后制造一台样机验证有限元分析、解析法计算结果的正确性。展开更多
基金Supported in part by the National Natural Science Foundation of China under Grant 51977099in part by the National Natural Science Foundation of Jiangsu Higher Education Institutions under Grant 22KJB470010.
文摘A comparison of two modular linear permanent-magnet vernier(LPMV)machines is presented.A modular LPMV machine with a partitioned primary,which can significantly improve the modulation effect,is proposed.Benefitting from the partition design,the space conflict between the permanent magnet(PM)and the armature magnetic field is relieved.First,the topologies of modular LPMV machines with and without a partitioned primary are presented.Then,the effect of the partitioned primary on the modular LPMV machine is analyzed using flux modulation theory.Moreover,analytical expressions for the trapezoidal permeance are derived.In addition,the harmonic components,back electromotive forces,and thrust forces of the machines with and without the partitioned primary are comparatively analyzed.The results reveal that the thrust force density of the LPMV machine with a partitioned primary is increased by 32.3%.Finally,experiments are performed on a prototype machine for validation.
文摘In this paper, using axial field finite analysis method, the field of a movable core type linear oscillation motor is analyzed. The program of axial field finite analysis is worked out. Using this program, we analyze various fields, including the field excited by permanent magnet materials, the field by two coils respectively, and the fields with the core moving to various positions.
文摘针对永磁直线同步电机(permanent magnet linear synchronous machine,PMLSM)有限元仿真模型的计算时间长,不能直观地显示结构参数与输出推力的关系,无法指导电机结构参数优化等问题,提出基于子域解析法和深度神经网络算法的PMLSM改进仿真模型,根据麦克斯韦方程组计算得到电机的磁通密度、空载反电势等性能数据,结合深度神经网络算法拟合出电机结构参数与输出推力的非线性关系。基于此模型,使用自适应遗传算法对PMLSM的推力密度进行优化,并与有限元仿真结果对比。结果表明:PMLSM改进仿真模型的计算速度是有限元模型的87.1倍,推力计算结果与有限元结果的平均误差为2.87%,优化后的电机推力密度提高了5.7%。
文摘在有铁心永磁直线电机(permanent magnet linear machines,PMLM)初级匝间短路故障分析中,对初级短路环电流的分析十分重要。该文提出采用磁动势–气隙磁导模型与电枢绕组故障等效模型结合的解析方法,计算任意初级位置发生的匝间短路故障短路环电流。首先根据永磁、电枢磁动势与开槽情况下的气隙磁导函数分别计算通过短路环的永磁、电枢磁链,然后通过矢量合成法得到短路环中的实际磁链以及瞬时短路电流。基于有限元方法证明解析法的正确性并探究不同短路故障匝数、不同短路故障位置对电机性能如短路环电流、相电流、推力的影响。最后制造一台样机验证有限元分析、解析法计算结果的正确性。
