| 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 machine; High-performance controllers; Line identifications; Meta heuristic algorithm; Multi-phase drives; Three-phase machines; Heuristic methods |
| Miembros de la Universidad Loyola |
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