Sensitivity Analysis of Manufacturing Tolerances in Permanent Magnet Synchronous Machines With Stator Segmentation
Sensitivity Analysis of Manufacturing Tolerances in Permanent Magnet Synchronous Machines With Stator Segmentation
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DOI：
10.1109/tec.2020.3017279
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发表时间：
2020-12
影响因子：
4.9
通讯作者：
J. Kolb;Kay Hameyer
中科院分区：
文献类型：
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作者：
J. Kolb;Kay Hameyer
本文研究了定子分段永磁同步电机的制造公差对输出功率的敏感性。为了减少模拟工作量，定子段气隙的过渡，以更换几何形状和相关参数进行了讨论，而几何和材料参数的不确定性建模与正态分布。此外，公差链表示通过卷积的独立概率分布。对于实验设计，使用Sobol序列。为了进一步减少设计参数的数量，提出了一种将冗余参数减少到单个设计参数的方法。对于灵敏度分析，转矩和转矩涟漪用作质量目标。此外，揭示了一种方法，使用的径向力的方差作为质量目标，而不考虑机械有限元模拟。对于制造公差，线性回归可以满足描述对质量目标的主要影响。重复的机器参数，例如剩磁，对机器输出的影响小于特定参数，例如外壳半径或静态偏心率。定子分段的影响可以忽略不计，而外壳半径对电机的输出具有最高的灵敏度。
In this article the sensitivity of manufacturing tolerances on the output of a permanent magnet synchronous machine with stator segmentation is studied. To reduce the simulation effort, a transition of the stator segment air gaps to replacement geometry was applied and the relevant parameters are discussed, whereas the uncertainty of geometric and material parameters is modeled with a normal distribution. Furthermore, tolerance chains are expressed through the convolution of independent probability distributions. For the Design of Experiments Sobol sequences are utilized. To further decrease the number of design parameters an approach is presented to reduce redundant parameters to individual design parameters. For the sensitivity analysis the torque and torque ripple serve as quality objectives. In addition, an approach is revealed to use the variance of the radial forces as quality objective without considering mechanical FE simulations. For manufacturing tolerances a linear regression is satisfying to describe the main effects on the quality objectives. Repetitive machine parameters, e.g. the remanences, have less influence on the machine's output than particular parameters such as the housing radius or static eccentricity. The influences of stator segmentation are negligibly small, whereas the housing radius has the highest sensitivity on the machine's output.