@article{10272/16469,
year = {2019},
month = {1},
url = {http://hdl.handle.net/10272/16469},
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.},
organization = {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.},
publisher = {MDPI},
title = {Interest and Applicability of Meta-Heuristic Algorithms in the Electrical Parameter Identification of Multiphase Machines},
doi = {10.3390/en12020314},
author = {Gutiérrez Reina, Daniel and Barrero, Federico and Riveros, José and González Prieto, Ignacio and Toral, Sergio L. and Durán, Mario J.},
}