A Unified Electromagnetic Inverse Problem Algorithm for the Identification of the Magnetic Material Characteristics of Electromagnetic Devices Including Uncertainty Analysis: A Review and Application

Autor:	Ahmed Mohamed Abouelyazied Abdallh, Luc Dupré
Rok vydání:	2015
Předmět:	Reduction (complexity) Computer science Estimation theory Noise (signal processing) Electrical and Electronic Engineering Inverse problem Conductivity Inductor Algorithm Uncertainty analysis Electronic Optical and Magnetic Materials
Zdroj:	IEEE Transactions on Magnetics. 51:1-10
ISSN:	1941-0069 0018-9464
DOI:	10.1109/tmag.2014.2332978
Popis:	Magnetic properties of the electromagnetic devices core materials are reconstructed by solving a coupled experimental-numerical electromagnetic inverse problem. However, the measurement noise as well as uncertainties of the forward model parameters and structure may result in dramatic recovery errors in the recovered values of the material parameters. In this paper, we review the use of the electromagnetic inverse problem for the identification of the magnetic material characteristics. The inverse algorithm is combined with a generic stochastic uncertainty analysis for a priori qualitative error estimation, and a quantitative error reduction. The complete inverse methodology is applied onto the identification of the magnetizing B-H curve of the magnetic material of a commercial asynchronous machine. Both numerical and experimental results validate the inverse approach, showing a good capability for magnetic material identification in electromagnetic devices. The proposed technique is general and can be applied into a wide range of applications in electromagnetic community.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::10395f3e40db9e000c98964ba9741243 https://doi.org/10.1109/tmag.2014.2332978 Zobrazit plný text záznamu