基于响应面法的轴向混合励磁双凸极航空发电机优化设计  

Optimization Design of Axial Hybrid Excitation Doubly Salient Aerospace Machine Based on Response Surface Method

作　　者：马昕晨 陈志辉[1] 赵雅周 Ma Xinchen;Chen Zhihui;Zhao Yazhou(Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China;Beijing Shuguang Aero Electric Limited Liablity Company,Beijing 100020,China)

机构地区：[1]南京航空航天大学,江苏南京210016 [2]北京曙光航空电气有限责任公司,北京100020

出　　处：《航空科学技术》2022年第10期74-81,共8页Aeronautical Science & Technology

基　　金：航空科学基金(20200040052001)。

摘　　要：混合励磁双凸极电机具有结构简单、功率密度高的特点,适用于航空电源系统。本文首先简要介绍了一种新型轴向混合励磁双凸极电机的结构特点,搭建电机有限元模型,确定电机初始设计参数,并根据磁链最大原则,通过田口正交优化方法,筛选出关键结构尺寸参数;然后采用中心复合设计试验,在设计空间内建立响应面模型;最后利用自适应遗传算法基于响应面模型进行全局最优点求解。有限元分析结果表明,优化后的电机磁链及反电势均有所提高,表明该优化方法的正确性。The hybrid excitation doubly salient machine has the characteristics of simple structure and high power density, suitable for aviation high-voltage power generation system. Firstly, this paper briefly introduces the structural characteristics of a new type of axial hybrid excitation double salient machine(AHEDSM), establishes the finite element simulation model and determins the initial design size parameters of the machine. According to the principle of maximum flux linkage, the key structural size parameters are screened out by Taguchi orthogonal optimization method. Then response surface model is established in the design space by central composite design. Finally, selfadaptive genetic algorithm is used to solve the global optimum based on response surface model. The finite element analysis results show that the optimized machine flux linkage and back EMF are improved, which confirms the correctness of the optimization method.

关 键 词：混合励磁双凸极电机 田口正交优化方法 中心复合设计试验 响应面模型 自适应遗传算法 

分 类 号：TM352[电气工程—电机]