Symbiotic evolutionary algorithm for the Preisach hysteresis model identification

Issue title: Proceedings of the twelfth International Symposium on Interdisciplinary Electromagnetic, Mechanic and Biomedical Problems, ISEM Bad Gastein

Article type: Research Article

Authors: Fulginei, Francesco Riganti^{a; *} | Chen, Sarah Swee-Ling^a | Salvini, Alessandro^a

Affiliations: [a] University of Roma Tre, Department of Applied Electronics, via della Vasca Navale, 84 00146 Roma, Italy

Correspondence: [*] Corresponding author. Tel.: +39 06 55177272; Fax: +39 06 55177026; E-mail: riganti@uniroma3.it

Abstract: An approach based on an evolutionary algorithm for the Hysteretic Preisach model identification is presented. The proposed Symbiotic Evolutionary Algorithm is based on a synergy between Genetic Algorithm and Bacterial Chemotaxis Algorithm. The synergy allows to perform more accuracy on numerical results and more numerical stability versus the use of a single algorithm. The proposed approach has been validated by experimental hysteresis loops.

DOI: 10.3233/JAE-2007-761

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 25, no. 1-4, pp. 681-687, 2007