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- W4211150029 abstract "In order to improve the performance (low torque ripple, high average torque and high efficiency) of the permanent magnet assisted reluctance motor (PMa-RM), a multi-objective optimization optimal based on Chi-square Distance NSGA-II (CD-NSGA-II) with gradient targets is investigated. Firstly, the Box-Behnken design (BBD) and finite element analysis (FEA) are combined to establish the response surface models of optimization goals. Secondly, the code method of the windings turns, and the crossover and variation methods of current and rotor pole shoe were improved based on conventional NSGA-II. Meanwhile, the approximate Pareto frontier is obtained with limited iterations. Then preferred searching area is constructed base on decision maker's preference and optimization constraints. Thirdly, optimization focuses within the preferred searching area by CD-NSGA-II with gradient targets. Finally, the practicability of this method was proved by standard test functions, and the experimental results confirm the validity of the optimization method." @default.
- W4211150029 created "2022-02-13" @default.
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- W4211150029 date "2021-11-01" @default.
- W4211150029 modified "2023-09-28" @default.
- W4211150029 title "Multi-Objective Preference Optimization Method of Permanent Magnet Assisted Reluctance Motor" @default.
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- W4211150029 doi "https://doi.org/10.1109/cis54983.2021.00092" @default.
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