Next Article in Journal
Modeling and Controller Design of PV Micro Inverter without Using Electrolytic Capacitors and Input Current Sensors
Previous Article in Journal
Strategy Design of Hybrid Energy Storage System for Smoothing Wind Power Fluctuations
Article Menu
Issue 12 (December) cover image

Export Article

Open AccessArticle
Energies 2016, 9(12), 992; doi:10.3390/en9120992

A New Design Optimization Method for Permanent Magnet Synchronous Linear Motors

College of Electrical Engineering and Automation, Anhui University, Hefei 230601, China
*
Author to whom correspondence should be addressed.
Academic Editor: Chunhua Liu
Received: 28 July 2016 / Revised: 23 October 2016 / Accepted: 18 November 2016 / Published: 25 November 2016
View Full-Text   |   Download PDF [4686 KB, uploaded 25 November 2016]   |  

Abstract

This study focused on the design optimization of permanent magnet synchronous linear motors (PMSLM) that are applied in microsecond laser cutting machines. A new design optimization method was introduced to enhance PMSLM performances in terms of motor thrust, thrust ripple, and inductive electromotive force (EMF). Based on accurate 3D finite element analysis (3D-FEA), a multiple support vector machine (multi-SVM) was proposed to build a non-parametric quick calculation model by mapping the relation between multivariate structure parameters and multivariate operation performances. The gravity center neighborhood algorithm (GCNA) was also applied to search the global optimal combination of the structure parameters by locating the gravity center of the multi-SVM model. The superiority and validity of this method are verified by experiments. View Full-Text
Keywords: permanent magnet linear synchronous motors (PMSLM); thrust; thrust ripple; 3D finite element analysis (3D-FEA); multiple support vector machine (multi-SVM); non-parametric quick calculation model; gravity center neighborhood algorithm (GCNA) permanent magnet linear synchronous motors (PMSLM); thrust; thrust ripple; 3D finite element analysis (3D-FEA); multiple support vector machine (multi-SVM); non-parametric quick calculation model; gravity center neighborhood algorithm (GCNA)
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Song, J.; Dong, F.; Zhao, J.; Lu, S.; Li, L.; Pan, Z. A New Design Optimization Method for Permanent Magnet Synchronous Linear Motors. Energies 2016, 9, 992.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top