Open AccessMulti‐objective optimisation design of air‐cored axial flux PM generator
Author(s) -
Zhu Jun,
Li Shaolong,
Song Dandan,
Han Qiaoli,
Wang Jingmei,
Li Guanghua
Publication year - 2018
Publication title -
iet electric power applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.815
H-Index - 97
eISSN - 1751-8679
pISSN - 1751-8660
DOI - 10.1049/iet-epa.2018.5092
Subject(s) - taguchi methods , control theory (sociology) , finite element method , response surface methodology , generator (circuit theory) , flux (metallurgy) , multivariable calculus , power (physics) , orthogonal array , matrix (chemical analysis) , engineering , mathematics , computer science , control engineering , structural engineering , materials science , physics , metallurgy , statistics , control (management) , quantum mechanics , artificial intelligence , composite material
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.