Multi-objective optimisation design of air-cored axial flux PM generator

被引：20

作者：

Zhu, Jun ^{[1
]}

Li, Shaolong ^{[1
]}

Song, Dandan ^{[1
]}

Han, Qiaoli ^{[2
]}

Wang, Jingmei ^{[1
]}

Li, Guanghua ^{[1
]}

机构：

[1] Henan Polytech Univ, Sch Elect Engn & Automat, Jiaozuo, Peoples R China

[2] Inner Mongolia Agr Univ, Sch Energy & Transportat Engn, Hohhot, Peoples R China

来源：

IET ELECTRIC POWER APPLICATIONS | 2018年 / 12卷 / 09期

关键词：

response surface methodology; Taguchi methods; finite element analysis; electric potential; design engineering; optimisation; permanent magnet generators; multiobjective optimisation design; air-cored axial flux PM generator; air-cored axial flux permanent magnet generator; multipeak value; optimisation goal; Taguchi-response surface method; main characteristics; generator efficiency; optimisation objectives; optimisation mathematical model; optimal variable parameters; optimisation method; optimised core less flux PM generator; multivariable value; RSM; power quality; induction electromotive force;

D O I：

10.1049/iet-epa.2018.5092

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The optimisation design of air-cored axial flux permanent magnet (PM) generator is a complex non-linear problem with constraints, multi-objective, multivariable and multi-peak value. The different variables will affect the same optimisation goal. In this paper, a multi-objective optimisation design of air-cored axial flux PM generator based on Taguchi-response surface method (RSM) is proposed. The main characteristics of generator efficiency, power quality, induction electromotive force and other main characteristics are taken as optimisation objectives. The parameter ranges that influence the optimisation objectives of the motor are selected as optimisation variables. First, the orthogonal matrix is established according to the number of selected parameters and the level factor of each parameter and the finite element method is used to solve the experimental matrix. Then, the mean and variance of the simulation results are analysed. The optimisation mathematical model was established between the target and the impact factor by using RSM for the conflicting factors, which can determine the optimal variable parameters. The effectiveness of the optimisation method is verified by finite element analysis and prototype experiments. The results show that the performance of optimised core less flux PM generator has been greatly improved.

引用

页码：1390 / 1395

页数：6

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