| Título |
Interest and applicability of meta-heuristic algorithms in the electrical parameter identification of multiphase machines |
| Autores |
GUTIÉRREZ REINA, DANIEL, Barrero F. , Riveros J. , Gonzalez-Prieto I. , Toral S.L. , Duran M.J. |
| Publicación externa |
No |
| Medio |
Energies |
| Alcance |
Article |
| Naturaleza |
Científica |
| Cuartil JCR |
3 |
| Cuartil SJR |
2 |
| Impacto JCR |
2.702 |
| Impacto SJR |
0.635 |
| Web |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060549873&doi=10.3390%2fen12020314&partnerID=40&md5=4ef6f1e97c7bff8d229cf9f177552801 |
| Fecha de publicacion |
01/01/2019 |
| ISI |
000459743700115 |
| Scopus Id |
2-s2.0-85060549873 |
| DOI |
10.3390/en12020314 |
| Abstract |
Multiphase machines are complex multi-variable electro-mechanical systems that are receiving special attention from industry due to their better fault tolerance and power-per-phase splitting characteristics compared with conventional three-phase machines. Their utility and interest are restricted to the definition of high-performance controllers, which strongly depends on the knowledge of the electrical parameters used in the multiphase machine model. This work presents the proof-of-concept of a new method based on particle swarm optimization and standstill time-domain tests. This proposed method is tested to estimate the electrical parameters of a five-phase induction machine. A reduction of the estimation error higher than 2.5% is obtained compared with gradient-based approaches. © 2019 by the authors. |
| Palabras clave |
Electric network parameters; Fault tolerance; Heuristic algorithms; Particle swarm optimization (PSO); Time domain analysis; Electrical parameter; Electromechanical systems; Five phase induction machi |
| Miembros de la Universidad Loyola |
|
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