Artículo
Interest and Applicability of Meta-Heuristic Algorithms in the Electrical Parameter Identification of Multiphase Machines
Autor/es | Gutiérrez Reina, Daniel
Barrero, Federico Riveros, José González Prieto, Ignacio Toral, S. L. Durán, Mario J. |
Departamento | Universidad de Sevilla. Departamento de Ingeniería Electrónica |
Fecha de publicación | 2019-01 |
Fecha de depósito | 2019-04-24 |
Publicado en |
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Resumen | 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 ... 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. |
Identificador del proyecto | DPI2013-44278-R
DPI2016-76144-R |
Cita | Gutiérrez Reina, D., Barrero, F., Riveros, J., González Prieto, I., Toral, S.L. y Durán, M.J. (2019). Interest and Applicability of Meta-Heuristic Algorithms in the Electrical Parameter Identification of Multiphase Machines. Energies, 12 (2) |
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