Techniques for Multilevel Design Optimization of Permanent Magnet Motors
Techniques for Multilevel Design Optimization of Permanent Magnet Motors
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DOI：
10.1109/tec.2015.2444434
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发表时间：
2015-07
影响因子：
4.9
通讯作者：
G. Lei;Chengcheng Liu;Jianguo Zhu;Youguang Guo
中科院分区：
文献类型：
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作者：
G. Lei;Chengcheng Liu;Jianguo Zhu;Youguang Guo
在我们以前的工作中，多级方法已经被提出用于电机和传动系统的优化设计，以优化系统性能和效率。针对多级优化方法的框架设计，本文提出了四种技术，包括规模方程、局部灵敏度分析、全局灵敏度分析和试验设计技术。对于每一种技术，一个一般的和理论的分析程序之前的应用研究。为了证明该方法的有效性，对一种具有软磁复合磁芯和三维有限元分析模型的永磁爪极电机进行了研究，以最小化材料成本，最大化输出功率，同时保持体积恒定。基于此三维有限元模型计算的电机性能已被实验结果所验证。如图所示，这些技术是简单的实施，和由此产生的多级优化框架可以显着提高电机的性能，并减少所需的样本数量的有限元分析。
The multilevel method has been presented for design optimization of electrical machines and drive systems for optimal system performances and efficiency in our previous work. For framework design of the multilevel optimization method, four techniques are presented in this paper, including the sizing equation, local sensitivity analysis, global sensitivity analysis, and design of experiments techniques. For each technique, a general and theoretical analysis procedure is presented before the application study. To demonstrate the effectiveness, a permanent magnet claw-pole motor with soft magnetic composite core and 3-D finite-element analysis model is investigated to minimize the material cost and maximize the output power while keeping the volume constant. The calculated motor performance based on this 3-D finite-element model has been verified by the experimental results. As shown, these techniques are simple to implement, and the resultant multilevel optimization framework can significantly improve the motor performance and reduce the required sample number of finite-element analysis.