Adagrad Algorithm based Optimal Slot-pole Selection for Reduced Inductance Harmonics in Concentrated Wound Multiphase PMSM.

H. Dhulipati, E. Ghosh, S. Mukundan, J. Tjong, N. Kar
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引用次数: 4

Abstract

Fractional slot concentrated windings (FSCW) permanent magnet synchronous machines (PMSM) have high content of space harmonics in the magnetomotive force (MMF) due to which the harmonic inductance is much larger than the magnetizing inductance [1]. These inductance harmonics lead to high torque ripple and low power factor. In case of FSCW, the coils are full pitched and cannot be chorded like in distributed windings to reduce inductance harmonics and also a suitable rotor structure have small impact on reduction of these harmonics. However, the space harmonic content in the FSCW PMSM vary significantly with the choice of slot-pole combination. Thus, the inductance harmonics can be modeled and minimized using an optimal choice of machine phases (m), stator slot numbers (S) and rotor poles (P). State of the art: [2] has presented the selection of slot, pole and phase numbers for reducing harmonic leakage inductance specifically for single layer CW PMSM. In [3], a detailed procedure for slot-pole selection based on inductances for single and double layer windings are provided. However, these are restricted for odd phase numbers and the selection process is time consuming. In this paper, the impact of winding layers, phase belt, slots, poles, and phase numbers on inductance harmonics has been studied. Further, an Adapative gradient (Adagrad) algorithm based approach is implemented to optimally select these parameters with little prior knowledge about the structural data.
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基于Adagrad算法的集中绕线多相永磁同步电机降电感谐波槽极优化选择。
分数槽集中绕组(FSCW)永磁同步电机(PMSM)的磁动势(MMF)中空间谐波含量高,谐波电感远大于磁化电感[1]。这些电感谐波导致高转矩纹波和低功率因数。在FSCW的情况下,线圈是全螺距的,不能像分布式绕组那样用和弦来降低电感谐波,而且合适的转子结构对降低这些谐波的影响很小。然而,槽极组合的选择对FSCW永磁同步电机的空间谐波含量有显著影响。因此,可以使用机器相位(m)、定子槽数(S)和转子极数(P)的最佳选择来建模和最小化电感谐波。目前的现状:[2]已经提出了槽数、极数和相数的选择,以减少谐波漏感,特别是对于单层连续波永磁同步电机。文献[3]给出了基于单层和双层绕组电感的槽极选择的详细步骤。然而,这些是限制奇数相数和选择过程是费时的。本文研究了绕组层、相带、槽、极和相数对电感谐波的影响。在此基础上,实现了一种基于自适应梯度(Adagrad)算法的方法,在对结构数据很少先验知识的情况下对这些参数进行最优选择。
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