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Electromagnetic Design Optimization and Sensitivity Analysis for IPM Synchronous Motors

机译:IPM同步电机的电磁设计优化和灵敏度分析

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This paper presents the electromagnetic design optimization for a 12-slot, 8-pole, concentrated winding, V-shaped magnet Interior Permanent Magnet Synchronous Motor (IPMSM) using a Genetic Algorithm (GA). Three distinct objective functions are considered. These include minimum weight, minimum loss, and a combined multi-objective function to minimize both the weight and the losses. The three optimized machines are compared with a non-optimized preliminary design using 2D-Finite Element Analysis (FEA). The multi-objective optimal design shows major efficiency improvements (1.25%) and weight reduction (0.918 kg) compared to the preliminary design. Sensitivity analysis is conducted on this optimized machine, which evaluates its weight and efficiency variations as a function of deviations in the optimized variables.
机译:本文介绍了使用遗传算法(GA)的12槽,8极,集中绕组,V形磁铁内部永磁同步电动机(IPMSM)的电磁设计优化。考虑了三个不同的客观函数。这些包括最小重量,最小损耗和组合的多目标函数,以最大限度地减少重量和损耗。将三种优化的机器与使用2D-有限元分析(FEA)的非优化初步设计进行比较。与初步设计相比,多目标最佳设计表明,与初步设计相比,重量效率提高(1.25%)和减重(0.918千克)。在该优化机器上进行敏感性分析,该机器进行了重量和效率变化,作为优化变量中的偏差的函数。

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