基于遗传算法和有限元法的轮辐式永磁电机优化设计

Shouhui Ni, U. Schaefer
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引用次数: 4

摘要

与传统结构相比,铁氧体磁体的轮辐式永磁电机具有较高的转矩密度和较低的成本效率,广泛应用于各种驱动系统中。本文建立了洗衣机用轮辐式永磁电机的参数化有限元模型。分别计算低速和高速工况下的工作点。然后利用遗传方法进行优化过程,以找到满足一系列约束条件且成本最低的最优设计。专门定义了适应度函数来处理对象和约束。结果表明,将遗传法与有限元法相结合的方法是可行的。
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Optimization of a Spoke-Type Permanent Magnet Motor by Combination of Genetic Algorithm and Finite Element Method
The spoke-type permanent magnet motors with ferrite magnets provide relatively high torque density and high efficiency at a low cost compared to conventional structures and are widely applied in different drive systems. In this paper, a parametric finite element model of a spoke-type permanent magnet motor for washing machines is built up. Operating points at low speed and high speed are calculated respectively. An optimization process by using genetic method is then conducted, with the goal to find an optimal design that satisfies a list of constraints and has lowest cost. A fitness function is specially defined to deal with the object together with the constraints. The results show the feasibility of the proposed approach combining genetic method with finite element method.
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