Volume 6, Issue 3 (September 2010)                   IJEEE 2010, 6(3): 183-189 | Back to browse issues page

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Lucas C, Tootoonchian F, Nasiri-Gheidari Z. Multi-Objective Design Optimization of a Linear Brushless Permanent Magnet Motor Using Particle Swarm Optimization (PSO). IJEEE 2010; 6 (3) :183-189
URL: http://ijeee.iust.ac.ir/article-1-322-en.html
Multi-Objective Design Optimization of a Linear Brushless Permanent Magnet Motor Using Particle Swarm Optimization (PSO)
C. Lucas , F. Tootoonchian , Z. Nasiri-Gheidari
Abstract:   (11494 Views)
In this paper a brushless permanent magnet motor is designed considering minimum thrust ripple and maximum thrust density (the ratio of the thrust to permanent magnet volumes). Particle Swarm Optimization (PSO) is used as optimization method. Finite element analysis (FEA) is carried out base on the optimized and conventional geometric dimensions of the motor. The results of the FEA deal to the significant improvement of the all objective functions.
Keywords: Particle Swarm Optimization (PSO) , Linear Brushless Permanent Magnet Motor Design , Optimization , Finite-Element Analysis
Full-Text [PDF 501 kb]   (4313 Downloads)    
Type of Study: Research Paper | Subject: Evolutionary Computation
Received: 2010/09/15 | Accepted: 2013/12/30
Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Creative Commons License
© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.