Losses estimation and modelling in active magnetic bearings

Aleksei Romanenko; Alexander Smirnov; Rafal P. Jastrzebski; Olli Pyrhonen

doi:10.1109/EPE.2014.6910753

Losses estimation and modelling in active magnetic bearings

Aleksei Romanenko, Alexander Smirnov, Rafal P. Jastrzebski, Olli Pyrhonen

Not published at VTT

Lappeenranta-Lahti University of Technology LUT

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

7 Citations (Scopus)

Abstract

Active magnetic bearings (AMBs) are becoming very popular in high speed electrical machines applications in the last decade. As the interest in them grows the necessity to optimise all the aspects of their operation arises. This paper presents the analytical way of calculating losses of active magnetic bearings based on reluctance network method. The method provides fast estimation reducing development time and effort with accurate results. In the article the proposed method is compared with other popular losses estimation methods and verified with experimental results.

Original language	English
Title of host publication	2014 16th European Conference on Power Electronics and Applications, EPE-ECCE Europe 2014
Publisher	IEEE Institute of Electrical and Electronic Engineers
ISBN (Print)	978-1-4799-3015-9
DOIs	https://doi.org/10.1109/EPE.2014.6910753
Publication status	Published - 1 Jan 2014
MoE publication type	A4 Article in a conference publication
Event	16th European Conference on Power Electronics and Applications, EPE-ECCE Europe 2014 - Lappeenranta, Finland Duration: 26 Aug 2014 → 28 Aug 2014

Conference

Conference	16th European Conference on Power Electronics and Applications, EPE-ECCE Europe 2014
Country/Territory	Finland
City	Lappeenranta
Period	26/08/14 → 28/08/14

Keywords

Electrical machine
Magnetic bearings
Modelling
Ohmic Losses

Access to Document

10.1109/EPE.2014.6910753

Cite this

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title = "Losses estimation and modelling in active magnetic bearings",

abstract = "Active magnetic bearings (AMBs) are becoming very popular in high speed electrical machines applications in the last decade. As the interest in them grows the necessity to optimise all the aspects of their operation arises. This paper presents the analytical way of calculating losses of active magnetic bearings based on reluctance network method. The method provides fast estimation reducing development time and effort with accurate results. In the article the proposed method is compared with other popular losses estimation methods and verified with experimental results.",

keywords = "Electrical machine, Magnetic bearings, Modelling, Ohmic Losses",

author = "Aleksei Romanenko and Alexander Smirnov and Jastrzebski, {Rafal P.} and Olli Pyrhonen",

year = "2014",

month = jan,

day = "1",

doi = "10.1109/EPE.2014.6910753",

language = "English",

isbn = "978-1-4799-3015-9",

booktitle = "2014 16th European Conference on Power Electronics and Applications, EPE-ECCE Europe 2014",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

address = "United States",

note = "16th European Conference on Power Electronics and Applications, EPE-ECCE Europe 2014 ; Conference date: 26-08-2014 Through 28-08-2014",

}

Romanenko, A, Smirnov, A, Jastrzebski, RP & Pyrhonen, O 2014, Losses estimation and modelling in active magnetic bearings. in 2014 16th European Conference on Power Electronics and Applications, EPE-ECCE Europe 2014., 6910753, IEEE Institute of Electrical and Electronic Engineers, 16th European Conference on Power Electronics and Applications, EPE-ECCE Europe 2014, Lappeenranta, Finland, 26/08/14. https://doi.org/10.1109/EPE.2014.6910753

Losses estimation and modelling in active magnetic bearings. / Romanenko, Aleksei; Smirnov, Alexander; Jastrzebski, Rafal P. et al.
2014 16th European Conference on Power Electronics and Applications, EPE-ECCE Europe 2014. IEEE Institute of Electrical and Electronic Engineers, 2014. 6910753.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Losses estimation and modelling in active magnetic bearings

AU - Romanenko, Aleksei

AU - Smirnov, Alexander

AU - Jastrzebski, Rafal P.

AU - Pyrhonen, Olli

PY - 2014/1/1

Y1 - 2014/1/1

N2 - Active magnetic bearings (AMBs) are becoming very popular in high speed electrical machines applications in the last decade. As the interest in them grows the necessity to optimise all the aspects of their operation arises. This paper presents the analytical way of calculating losses of active magnetic bearings based on reluctance network method. The method provides fast estimation reducing development time and effort with accurate results. In the article the proposed method is compared with other popular losses estimation methods and verified with experimental results.

AB - Active magnetic bearings (AMBs) are becoming very popular in high speed electrical machines applications in the last decade. As the interest in them grows the necessity to optimise all the aspects of their operation arises. This paper presents the analytical way of calculating losses of active magnetic bearings based on reluctance network method. The method provides fast estimation reducing development time and effort with accurate results. In the article the proposed method is compared with other popular losses estimation methods and verified with experimental results.

KW - Electrical machine

KW - Magnetic bearings

KW - Modelling

KW - Ohmic Losses

UR - http://www.scopus.com/inward/record.url?scp=84923875473&partnerID=8YFLogxK

U2 - 10.1109/EPE.2014.6910753

DO - 10.1109/EPE.2014.6910753

M3 - Conference article in proceedings

AN - SCOPUS:84923875473

SN - 978-1-4799-3015-9

BT - 2014 16th European Conference on Power Electronics and Applications, EPE-ECCE Europe 2014

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - 16th European Conference on Power Electronics and Applications, EPE-ECCE Europe 2014

Y2 - 26 August 2014 through 28 August 2014

ER -

Losses estimation and modelling in active magnetic bearings

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Keywords

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