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This paper introduces an optimal design procedure for an in-wheel interior permanent magnet synchronous motor (IPMSM) to achieve wide speed range. For algorithms, the Kriging model based on the latin hypercube sampling (LHS) and genetic algorithm (GA) are applied. The optimal model has an increased wide speed range with reduced cogging torque.
This paper introduces an optimal design process enable the optimized spoke-type interior permanent magnet synchronous motor (IPMSM) to effectively reduce the cogging torque by considering the torque and efficiency by maximum torque control. In the optimal design process, response surface method (RSM) combined with moving least square method (MLSM) and genetic algorithm (GA) were used. Furthermore...
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...
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