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

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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
Abstract:   (11497 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.
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Type of Study: Research Paper | Subject: Evolutionary Computation
Received: 2010/09/15 | Accepted: 2013/12/30

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© 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.