A Tabu Search metaheuristic procedure has been developed to solve the Moving Vector Hysteron Model identification problem. An analytic modified Preisach model is used to describe the hysteretic behavior of a magnetic material in case of scalar magnetization. Using the Tabu Search optimization algorithm it is possible to explore the model parameters space in a smart way identifying the corresponding values that minimize an error function while limiting the computation effort. The search has been performed for different magnetization values and the best fitting functions have been derived. Model validation is performed with experimental data.

Magnetic materials characterization by Tabu Search optimization

Carcangiu S.;Fanni A.;Montisci A.;
2017

Abstract

A Tabu Search metaheuristic procedure has been developed to solve the Moving Vector Hysteron Model identification problem. An analytic modified Preisach model is used to describe the hysteretic behavior of a magnetic material in case of scalar magnetization. Using the Tabu Search optimization algorithm it is possible to explore the model parameters space in a smart way identifying the corresponding values that minimize an error function while limiting the computation effort. The search has been performed for different magnetization values and the best fitting functions have been derived. Model validation is performed with experimental data.
978-888723737-5
Hysteresis model; Moving functions; Optimization; Tabu Search; Vector hysteron model
File in questo prodotto:
File Dimensione Formato  
AEIT-2017-Extended full_rev.pdf

Solo gestori archivio

Tipologia: versione post-print
Dimensione 252.9 kB
Formato Adobe PDF
252.9 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11584/248555
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 3
  • ???jsp.display-item.citation.isi??? 0
social impact