Vernier permanent magnet (VPM) machines have been widely used in the last two decades due to their high torque density resulting from their magnetic gearing effect. In this paper, we present a new design of VPM machine with higher efficiency and power/weight ratio than their conventional counterparts. The proposed design is a combination of discrete-pole and hybrid-pole VPM machines, which incorporates the attractive characteristics of both types to improve the distribution of air-gap flux density and reduce construction costs. The arrangement of the magnets in the stator is spoke type, and their magnetization is peripheral. In order to determine the performance characteristics of the proposed machine, an analytical model based on the subdomain method is presented. The proposed method employs a quasi-Cartesian coordinates system to express the Laplace’s and Poisson’s equations, as well as to determine the solution for each region. Then, the solution of the equations is written in the form of hyperbolic functions and the mathematical expression of the coefficients of the equations will be simpler. To validate the proposed analytical model, a Vernier machine is designed and fabricated and the results of the experimental experiments are compared with numerical (machine simulation in finite element analysis software) and analytical results. The comparison of these results shows that the proposed model is highly accurate.

中文翻译：

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新型游标永磁电机性能特性的分析、数值和实验研究

游标永磁 (VPM) 电机由于其磁齿轮效应产生的高扭矩密度而在过去二十年中得到了广泛应用。在本文中，我们提出了一种新设计的 VPM 机器，其效率和功率/重量比比传统机器更高。提议的设计是离散极和混合极 VPM 机器的组合，它结合了两种类型的吸引人的特性，以改善气隙磁通密度的分布并降低建设成本。定子中磁铁的排列是辐条式的，它们的磁化是外围的。为了确定所提出机器的性能特征，提出了一种基于子域方法的分析模型。所提出的方法采用准笛卡尔坐标系来表达拉普拉斯方程和泊松方程，并确定每个区域的解。然后，将方程的解写成双曲函数的形式，方程的系数的数学表达式会更简单。为了验证所提出的分析模型，设计并制造了一台游标机，并将实验结果与数值（有限元分析软件中的机器模拟）和分析结果进行了比较。这些结果的比较表明，所提出的模型是高度准确的。方程的解写成双曲函数的形式，方程系数的数学表达式会更简单。为了验证所提出的分析模型，设计并制造了一台游标机，并将实验结果与数值（有限元分析软件中的机器模拟）和分析结果进行了比较。这些结果的比较表明，所提出的模型是高度准确的。方程的解写成双曲函数的形式，方程系数的数学表达式会更简单。为了验证所提出的分析模型，设计并制造了一台游标机，并将实验结果与数值（有限元分析软件中的机器模拟）和分析结果进行了比较。这些结果的比较表明，所提出的模型是高度准确的。