Volume 6, Number 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:   (6449 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.
Full-Text [PDF 501 kb]   (2560 Downloads)    
Type of Study: Research Paper | Subject: Evolutionary Computation
Received: 2010/09/15 | Accepted: 2013/12/30 | Published: 2013/12/30

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