DocumentCode :
992861
Title :
Equivalent network modeling of cylindrical systems with conductors in motion
Author :
Azzerboni, B. ; Esposito, N. ; Raugi, M. ; Tellini, A.
Author_Institution :
Dipartimento Elettrico Elettronico e Sistemistico, Catania Univ., Italy
Volume :
29
Issue :
2
fYear :
1993
fDate :
3/1/1993 12:00:00 AM
Firstpage :
1689
Lastpage :
1692
Abstract :
Equivalent network models for the analysis of electromagnetic field distributions and forces in axisymmetric systems with linear ferromagnetic conductors in motion are presented. The infinite equivalent network model calculates the inductive parameters of the equivalent network by means of analytical expressions, obtained under the hypothesis of an infinite axial length of the system, in order to have a quick first evaluation of the system performance. The finite equivalent network model uses the magnetization vector and a magnetic scalar potential to take into account the actual finite axial length of the system in the evaluation of the inductive parameters of the equivalent network. The equivalent network model calculated results were compared with results obtained from an analytical model, and the models were then tested comparing calculated results with experimental data on a linear motor prototype
Keywords :
asynchronous machines; electromagnetic fields; equivalent circuits; linear motors; machine theory; EM forces; axisymmetric systems; conductors in motion; cylindrical systems; electromagnetic field distributions; finite equivalent network model; induction machine; inductive parameters; infinite equivalent network model; linear ferromagnetic conductors; linear motor; magnetic scalar potential; magnetization vector; Analytical models; Conductors; Electromagnetic analysis; Electromagnetic fields; Electromagnetic modeling; Magnetic analysis; Magnetization; Motion analysis; Performance analysis; System performance;
fLanguage :
English
Journal_Title :
Magnetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9464
Type :
jour
DOI :
10.1109/20.250730
Filename :
250730
Link To Document :
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