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Inicio  /  Energies  /  Vol: 12 Núm: 2 Par: January (2019)  /  Artículo
ARTÍCULO
TITULO

Interest and Applicability of Meta-Heuristic Algorithms in the Electrical Parameter Identification of Multiphase Machines

Daniel Gutierrez-Reina    
Federico Barrero    
Jose Riveros    
Ignacio Gonzalez-Prieto    
Sergio L. Toral and Mario J. Duran    

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 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.

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