Modeling of Axial Flux Permanent Magnet Generators

Natalia Radwan-Pragłowska, Tomasz Węgiel and Dariusz Borkowski
Additional contact information
Natalia Radwan-Pragłowska: Faculty of Electrical and Computer Engineering, Cracow University of Technology, Warszawska 24 St., 31-155 Cracow, Poland
Tomasz Węgiel: Faculty of Electrical and Computer Engineering, Cracow University of Technology, Warszawska 24 St., 31-155 Cracow, Poland
Dariusz Borkowski: Faculty of Electrical and Computer Engineering, Cracow University of Technology, Warszawska 24 St., 31-155 Cracow, Poland

Energies, 2020, vol. 13, issue 21, 1-28

Abstract: This article focuses on modeling of an Axial Flux Permanent Magnet Generator (AFPMG). The authors analyzed selected variants of disk generators, including coreless stator constructions and with iron core ones, also taking into account the Permanent Magnet (PM) arrangement in order to show the way to obtain the optimal machine characteristics based on analytical equations. In addition to the full model, which takes into account the higher harmonics of the magnetic field distribution, the paper presents a simplified mathematical model developed for generator operation cases such as standalone, connected to a 3-phase power grid and loaded with a diode rectifier. The analytical and finite-element method (FEM) calculations were performed as well as laboratory tests to confirm the correctness of presented model assumptions.

Keywords: permanent magnet; PM generator; axial flux machine; disk generator (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/21/5741/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/21/5741/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:21:p:5741-:d:439000

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().