GUTIÉRREZ REINA, DANIEL, Barrero F. , Riveros J. , Gonzalez-Prieto I. , Toral S.L. , Duran M.J.
No
Energies
Article
Científica
2.702
0.635
01/01/2019
000459743700115
2-s2.0-85060549873
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.
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