预测无刷直流电动机的参数和性能,包括饱和和开槽效应以及磁路变化

M. Moallem, M. Madhkhan
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引用次数: 5

摘要

本文建立了一种预测无刷直流电机性能的解析模型。开发的程序是基于使用傅里叶级数近似的电机横截面磁场的近似二维解。有了磁场解,就可以预测电机的气隙磁通密度、线圈磁通联动、电感和反电动势。利用这些信息,可以计算电机的其他性能变量,如电流和转矩-转速特性。模型中包括铁饱和度、电机损耗、电枢效应和开槽效应。该模型还可以预测反电动势波形。反电动势波形显示了由于绕组分布而产生的电压纹波,这是电磁转矩纹波的来源之一。该程序能够预测由于磁路变化中的对称和非对称变化而引起的性能变化
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predicting the parameters and performance of brushless DC motor including saturation and slotting effects and magnetic circuit variations
In this paper, an analytical model is developed to predict brushless DC (BDC) motor performance. The program developed is based on an approximate 2-D solution of the magnetic field in the cross section of the motor using a Fourier series approximation. Having the field solution, one can predict the airgap flux density, coil flux linkage, inductances, and back emf of the motor. Using this information, other performance variables of the motor such as current and torque-speed characteristics can be calculated. Iron saturation, motor losses, armature effect, and slotting effect are included in the model. The model can also predict the back emf waveform. The back emf waveform shows the generated voltage ripple due to winding distribution which is one of the sources of electromagnetic torque ripple. The program is capable of predicting performance variation due to symmetric and unsymmetric variation in magnetic circuit variations.<>
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