Title :
An optimal material distribution design of Brushless DC motor by genetic algorithm considering a cluster of material
Author :
Ishikawa, Takeo ; Yonetake, Kouki ; Kurita, Nobuyuki
Author_Institution :
Dept. of Electron. Eng., Gunma Univ., Kiryu, Japan
Abstract :
Summary form of only given: This paper proposes a topology optimization method to optimize the material distribution of electrical machines using Genetic Algorithm (GA). In the method, a cluster of material is taken into account to form a group of iron. 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.
Keywords :
brushless DC motors; genetic algorithms; brushless DC motor; electrical machines; genetic algorithm; material cluster; optimal material distribution design; topology optimization method; Algorithm design and analysis; Brushless DC motors; Design optimization; Genetic algorithms; Iron; Optimization methods; Shape; Stators; Topology; Torque;
Conference_Titel :
Electromagnetic Field Computation (CEFC), 2010 14th Biennial IEEE Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-7059-4
DOI :
10.1109/CEFC.2010.5481675
