Gutiérrez Reina, DanielBarrero, FedericoRiveros, JoséGonzález Prieto, IgnacioToral, Sergio L.Durán, Mario J.2019-07-022019-07-022019-01Gutiérrez 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/en120203141996-1073http://hdl.handle.net/10272/16469Multiphase 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.engAtribución-NoComercial-SinDerivadas 3.0 Españahttp://creativecommons.org/licenses/by-nc-nd/3.0/es/Multiphase drivesOff-line identification methodsMeta-heuristic algorithmsjournal article10.3390/en12020314open access