RT Journal Article
T1 Interest and Applicability of Meta-Heuristic Algorithms in the Electrical Parameter Identification of Multiphase Machines
A1 Gutiérrez Reina, Daniel
A1 Barrero, Federico
A1 Riveros, José
A1 González Prieto, Ignacio
A1 Toral, Sergio L.
A1 Durán, Mario J.
AB Multiphase machines are complex multi-variable electro-mechanical systems that arereceiving special attention from industry due to their better fault tolerance and power-per-phasesplitting characteristics compared with conventional three-phase machines. Their utility andinterest are restricted to the definition of high-performance controllers, which strongly dependson the knowledge of the electrical parameters used in the multiphase machine model. This workpresents the proof-of-concept of a new method based on particle swarm optimization and standstilltime-domain tests. This proposed method is tested to estimate the electrical parameters of a five-phaseinduction machine. A reduction of the estimation error higher than 2.5% is obtained compared withgradient-based approaches.
PB MDPI
SN 1996-1073
YR 2019
FD 2019-01
LK http://hdl.handle.net/10272/16469
UL http://hdl.handle.net/10272/16469
LA eng
NO Gutiérrez Reina, D., Barrero, F., Riveros, J., González Prieto, I., Toral, S.,  Durán, M. (2019). Interest and Applicability of Meta-Heuristic Algorithms in the Electrical Parameter Identification of Multiphase Machines. Energies, 12(2), 314. DOI: https://doi.org/10.3390/en12020314
NO The authors would like to thanks the University of Seville and the Spanish national R + D + I program (under references DPI2013-44278-R and DPI2016-76144-R) for the equipment used for experiments.
DS Repositorio Institucional de la Universidad de Huelva
RD 1 jun 2026