Skip to main content
Article thumbnail
Location of Repository

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
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://www.wseas.us/e-library/... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.