典型文献
Optimization Design of High-speed Interior Permanent Magnet Motor with High Torque Performance Based on Multiple Surrogate Models
文献摘要：
In order to obtain better torque performance of high-speed interior permanent magnet motor(HSIPMM) and solve the problem that electromagnetic optimization design is seriously limited by its mechanical strength, a complete optimization design method is proposed in this paper. The object of optimization design is a 15kW、20000r/min HSIPMM whose permanent magnets in rotor is segmented. Eight structural dimensions are selected as its optimization variables. After design of experiment(DOE), multiple surrogate models are fitted, a set of surrogate models with minimum error is selected by using error evaluation indexes to optimize, the NSGA-Ⅱ algorithm is used to get the optimal solution. The optimal solution is verified by load test on a 15kW, 20000 r/min HSIPMM prototype. This paper can be used as a reference for the optimization design of HSIPMM.
文献关键词：
中图分类号：
作者姓名：
Shengnan Wu;Xiangde Sun;Wenming Tong
作者机构：
School of Electrical Engineering,Shenyang University of Technology,Shenyang 110870,China;National Engineering Research Center for Rare Earth Permanent Magnet Machines,Shenyang University of Technology,Shenyang 110870,China
文献出处：
引用格式：
[1]Shengnan Wu;Xiangde Sun;Wenming Tong-.Optimization Design of High-speed Interior Permanent Magnet Motor with High Torque Performance Based on Multiple Surrogate Models)[J].中国电工技术学会电机与系统学报（英文）,2022(03):235-240
A类：
HSIPMM,20000r
B类：
Optimization,Design,High,speed,Interior,Permanent,Magnet,Motor,Torque,Performance,Based,Multiple,Surrogate,Models,order,obtain,better,torque,performance,high,interior,permanent,motor,solve,problem,that,electromagnetic,optimization,design,seriously,limited,by,its,mechanical,strength,complete,method,proposed,this,paper,object,15kW,whose,magnets,rotor,segmented,Eight,structural,dimensions,are,selected,variables,After,experiment,DOE,multiple,surrogate,models,fitted,set,minimum,error,using,evaluation,indexes,optimize,NSGA,algorithm,used,get,optimal,solution,verified,load,test,prototype,This,can,reference
AB值：
0.600973
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