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Design Optimization of an Axial Flux PM Synchronous Machine: Comparison Between DIRECT Method and GAs Method
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| Author(s) |
Jaouad Azzouzi, Rachid Belfkira, Nabil Abdel-Karim, Georges Barakat, Brayima Dakyo |
| Abstract |
This paper presents a design optimization of an
axial flux permanent magnet synchronous machine
(AFPMSM). The design optimization is performed using
separately two different algorithms: a deterministic
algorithm and a stochastic algorithm. The used DIRECT
algorithm and genetic algorithm (GA) are described and
tested separately to optimize a 10kW / 130 rpm AFPMSM.
The obtained results by the two algorithms are compared in
terms of precision of the found global optimum,
convergence speed and simplicity of implementation. In
particular, optimal design results show the effectiveness of
DIRECT algorithm. |
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| Filename: | T4-611.pdf |
| Filesize: | 258.9 KB |
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| Type |
Members Only |
| Date |
Last modified 2007-03-12 by System |
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