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基于Tabu算法的轮毂式永磁电机优化研究 被引量:10

Research on optimal design of wheel permanent-magnet motor based on the Tabu search
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摘要 以永磁电动机的永磁材料用量为优化设计目标,把改进的禁忌搜索算法(tabusearchalgorithm)与电磁场逆问题分析法相结合,对一台轮毂式永磁无刷电动机实施了优化设计.详细分析了优化设计过程中目标函数和优化变量的确定原则.对于分别选择单目标和多目标函数时得到的不同优化结果进行了对比和讨论.参照样机的设计指标,对优化后的气隙磁通和电磁转矩等主要参数作了检验.优化设计结果表明,在不降低样机电气性能的前提下,优化样机永磁材料的用量可大大减少,从而使得优化后电机的价格、体积和重量都有相应的减小. A prototype of wheel permanent-magnet (PM) brushless direct current motor was successfully optimized due to the successful application of an improved Tabu search algorithm combined with inverse problems of electromagnetic field with the selection of material consumption of permanent-magnet as the optimal objective. How the objective function and optimal variables can be determined is discussed. The optimized results with single and multi-objective function were compared and analyzed by the finite element method. The main electromagnetic parameters were verified with the prototype of the motor. The numerical results obtained in this study reveal that the material used for the permanent-magnet as the optimized motor is reduced to a great extent compared with that for the prototype machine while other things being equal, which leads to a significant reduction in motor prices, volumes and weights.
出处 《浙江大学学报(工学版)》 EI CAS CSCD 北大核心 2002年第6期713-717,共5页 Journal of Zhejiang University:Engineering Science
基金 浙江省自然科学基金资助项目(599075).
关键词 轮毂式永磁电机 优化设计 TABU算法 有限元分析 永磁材料 电磁场逆问题 Design Electromagnetic fields Finite element method Inverse problems Optimization Permanent magnets
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参考文献4

二级参考文献5

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