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Genetic Algorithms and Simulated Annealing Applied to the Identification of Hysteresis Models

By L. Liberti, F. Riganti Fulginei, R. Russo and A. Salvini

Abstract

Abstract:- This paper tests two heuristic approaches by applying them to the magnetic hysteresis model parameter identification. Both Preisach and Jiles-Atherton hysteresis models have been used. The implemented investigated heuristics are genetic algorithm and simulated annealing. Both the heuristic algorithms efforts the knowledge of the B-H experimental points of the hysteresis loop to be modeled according to Preisach or Jiles-Atherton. The implemented software and the performances of two heuristic algorithms are presented

Topics: Key-Words, Genetic algorithms, Simulated Annealing, Hysteresis
Year: 2014
OAI identifier: oai:CiteSeerX.psu:10.1.1.412.9027
Provided by: CiteSeerX
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