Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/74896
Title: Optimal design of permanent magnet arrangement in synchronous motors
Authors: Liu, X 
Liu, Q 
Fu, W 
Keywords: Finite element method
Optimization
Parallel
Permanent magnet
Synchronous motor
Issue Date: 2017
Publisher: MDPI AG
Source: Energies, 2017, v. 10, no. 11, 1700 How to cite?
Journal: Energies 
Abstract: A general pattern, which can include different types of permanentmagnet (PM) arrangement in PM synchronous motors (PMSMs) is presented. By varying the geometric parameters of the general pattern, the template can automatically produce different types of PM arrangement in the rotor. By choosing the best arrangement of PMs using optimization method, one can obtain a better performance and lower manufacturing cost. Six of the most widely used conventional types of rotor structures can be obtained through the parameter variation of the general pattern. These types include five embedded PM types and a traditional surface-mounted PM type. The proposed approach combines optimization method embedded with finite element method (FEM) for solving the multi-objective optimization for the PM structures. To save computing load, this paper employs a strategy of sub-group optimization, which is on account of the impact levels of the design parameters on the objective functions, and a parallel computation, which is a valid method to shorten the computing time. As an application example, a PMSM is optimally designed. Its simulation results and prototype experiments are provided to showcase the effectiveness of the proposed method.
URI: http://hdl.handle.net/10397/74896
EISSN: 1996-1073
DOI: 10.3390/en10111700
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

2
Last Week
1
Last month
Citations as of Oct 19, 2018

WEB OF SCIENCETM
Citations

1
Last Week
0
Last month
Citations as of Oct 12, 2018

Page view(s)

3
Last Week
0
Last month
Citations as of Oct 14, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.