@inproceedings{372bc3e9a1f143f482af21696a0cc284,
title = "2-D analytical model for dual-stator machines with permanent magnets",
abstract = "This paper proposes an analytical model that considers the torque characteristics and results in an optimum geometry for dual-stator synchronous machines with permanent magnets. The distribution of the magnetic field in the air gap is obtained by solving Neumann's problem by using Green's function. The results of the study shows that the dual-stator topology of synchronous machine with permanent magnets can achieve up to 1.7 times more torque when compared to conventional machine with radially magnetized magnets. This effect is achieved due to more efficient using of the volume of the machine. The analytical model presented in the paper allows fast but accurate optimization of the machine's geometry and is used to achieve an optimal design for the considered application.",
keywords = "Analytical solution of Neumann's problem, Dual-stator machine, Permanent magnets, Synchronous electric machine",
author = "Dmitry Golovanov and Michael Galea and Chris Gerada",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 42nd Conference of the Industrial Electronics Society, IECON 2016 ; Conference date: 24-10-2016 Through 27-10-2016",
year = "2016",
month = dec,
day = "21",
doi = "10.1109/IECON.2016.7793484",
language = "English",
series = "IECON Proceedings (Industrial Electronics Conference)",
publisher = "IEEE Computer Society",
pages = "1560--1565",
booktitle = "Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society",
address = "United States",
}