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Particle swarm and genetic algorithms applied to the identification of induction machine parameters
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| Author(s) |
L. Baghli; A. Rezzoug. |
| Abstract |
This paper deals with the identification of induction machine parameters using Genetic Algorithms
(GA) and Particle Swarm Optimisation (PSO) method. Thanks to these algorithms, optimisation is
carried without the evaluation of the gradient. The optimisation is carried using current and speed
experimental curves of a direct start-up. Convergence speed, algorithms tuning and local-minima
problems are discussed. Results during the evolution process are presented as well as a comparison
with the experimental results. |
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| Filename: | EPE2003-PP0768 - Baghli |
| Filesize: | 1.235 MB |
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| Type |
Members Only |
| Date |
Last modified 2004-02-04 by Unknown |
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