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• W2116746961 abstract "In this paper, we discuss multiobjective design optimization of brushless permanent magnet motor (BLPMM) solved by genetic algorithm (GA) and 3D equivalent magnetic circuit network (EMCN) method. In the multiobjective optimization (MO) problem, we choose the decrease of cogging torque and the increase of torque as objectives. The airgap length, teeth width and magnetization angle of permanent magnet (PM) are also selected for the design variables respectively. From the results, our approach method enabled us to efficiently obtain diverse Pareto optimal (PO) solutions from the practical point of view. The experimental results are shown to confirm the validity of the optimization results." @default.
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• W2116746961 date "2004-06-01" @default.
• W2116746961 modified "2023-10-16" @default.
• W2116746961 title "Multiobjective Design Optimization of Brushless Permanent Magnet Motor Using 3D Equivalent Magnetic Circuit Network Method" @default.
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• W2116746961 doi "https://doi.org/10.1109/tasc.2004.830928" @default.
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