An Optimal Material Distribution Design of Brushless DC Motor by Genetic Algorithm Considering a Cluster of Material

作者：Ishikawa Takeo^*; Yonetake Kouki; Kurita Nobuyuki

来源：IEEE Transactions on Magnetics, 2011, 47(5): 1310-1313.

DOI：10.1109/TMAG.2010.2093572

• Brushless dc motor
• genetic algorithm (GA)
• topology optimization
• torque

This paper proposes a novel topology optimization method to optimize the material distribution of electrical machines using the genetic algorithm (GA). In the proposed method, a cluster of material and the cleaning procedure are taken into account in order to form a group of iron and a group of air. Moreover, the GA is iterated with the newly increased length of genes. The proposed method is applied to the topology optimization of the stator teeth in a brushless dc motor in order to reduce the torque ripple without decreasing the average torque. The proposed method makes it easier to manufacture the designed device.

• 出版日期2011-5