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Optimal Design of a Permanent Magnet Synchronous Motor Using the Cultural Algorithm

机译:永磁同步电动机的优化设计培养算法

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In this paper, a permanent magnet synchronous motor (PMSM) structure is optimized by a single-objective optimization method known as the cultural algorithm (CA). The torque capability of the PMSM is high due to the presence of the permanent magnets (PMs) in its structure. However, in critical applications with limited space (especially with volume limitation), the torque density is a more prominent function than the torque. For this reason, in the optimization problem presented in this paper, the torque density is the objective function. Therefore, this study aims to maximize the torque capability at a specified space besides maintaining the torque ripple under a specified value (as a constraint). To this, the structural parameters of the machine are optimized by the CA. An additional decision variable is also considered, and an important effect is concluded from that. The mathematical basics of the CA, operators, and other settings of the algorithm are also introduced. The results of the optimization process would be presented and compared with the initial machine design. These results demonstrate that the CA increases the torque density of the machine and keeps the torque ripple under the specified value. After the optimization results and comparisons, the electromagnetic performance of the motor is presented.
机译:本文通过称为文化算法(CA)的单目标优化方法优化了永磁同步电动机(PMSM)结构。由于其结构中的永磁体(PMS)存在,PMSM的扭矩能力高。然而,在具有有限空间的关键应用(特别是体积限制)中,扭矩密度比扭矩更突出。因此,在本文呈现的优化问题中,扭矩密度是目标函数。因此,除了在规定值(作为约束)下保持扭矩脉动之外,该研究旨在最大化指定空间的扭矩能力。为此,机器的结构参数由CA优化。还考虑了另外的决策变量,并从中得出了一个重要的效果。还介绍了CA,操作员和算法的其他设置的数学基础。将呈现优化过程的结果与初始机器设计相比。这些结果表明,CA增加了机器的扭矩密度,并在规定值下保持扭矩脉动。在优化结果和比较之后,提出了电动机的电磁性能。

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