A constraint-based optimization technique for estimating physical parameters of Jiles–Atherton hysteresis model

Brijesh Upadhaya, Paavo Rasilo, Lauri Perkkiö, Paul Handgruber, Anouar Belahcen, Antero Arkkio

Tutkimustuotos: LehtiartikkeliArticleScientificvertaisarvioitu

6 Lataukset (Pure)

Abstrakti

Improperly fitted parameters for the Jiles–Atherton (JA) hysteresis model can lead to non-physical hysteresis loops when ferromagnetic materials are simulated. This can be remedied by including a proper physical constraint in the parameter-fitting optimization algorithm. This paper aims to implement the constraint in the meta-heuristic simulated annealing (SA) optimization and Nelder–Mead simplex (NMS) algorithms to find JA model parameters that yield a physical hysteresis loop. The quasi-static B(H)-characteristics of a non-oriented (NO) silicon steel sheet are simulated, using existing measurements from a single sheet tester. Hysteresis loops received from the JA model under modified logistic function and piecewise cubic spline fitted to the average M(H) curve are compared against the measured minor and major hysteresis loops.
AlkuperäiskieliEnglanti
Sivumäärä18
JulkaisuCompel: the international journal for computation and mathematics in electrical and electronic engineering
DOI - pysyväislinkit
TilaJulkaistu - 24 elokuuta 2020
OKM-julkaisutyyppiA1 Julkaistu artikkeli, soviteltu

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