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A system level comparison of drive topologies for high speed electrical machines

Savi, Filippo; Barater, Davide; Di Nardo, Mauro; Degano, Michele; Gerada, C.

Authors

Filippo Savi

Davide Barater

Mauro Di Nardo

Michele Degano michele.degano@nottingham.ac.uk

C. Gerada chris.gerada@nottingham.ac.uk



Abstract

This paper presents a comprehensive comparative study among five different converter topologies all designed to drive a 8.5kW-120krpm surface permanent magnet synchronous machine. The study aims at comparing the considered systems in terms of converter complexity, control complexity and overall efficiency. The assessment of the subsystems’ efficiencies is based on a set of decoupled converter-electrical machine simulations. First the designed converters are simulated in Matlab-Simulink environment in order to estimate the converter losses and the current waveforms. Then the latter are used to supply the FE model of the electrical machine so to estimate all the loss components present in the real scenario. The results of the carried out study gives a wide understanding of the interaction between the two subsystems and some general design considerations needed to select the converter topology.

Publication Date Oct 31, 2017
Peer Reviewed Peer Reviewed
APA6 Citation Savi, F., Barater, D., Di Nardo, M., Degano, M., & Gerada, C. (2017). A system level comparison of drive topologies for high speed electrical machines
Keywords Topology, Rotors, Inverters, Complexity theory, Stators, Reactive power
Publisher URL http://ieeexplore.ieee.org/abstract/document/8216750/
Related Public URLs http://ieeexplore.ieee....ue.jsp?punumber=8168197
http://iecon2017.csp.escience.cn/dct/page/1
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf
Additional Information Published in: IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society : Oct. 29 2017-Nov. 1 2017. Piscataway, N.J. : IEEE, 2018. ISBN: 978-1-5386-1127-2. pp. 4357-4362, doi: 10.1109/IECON.2017.8216750 © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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