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Synthetic Loading for Symmetrical and Asymmetrical Nine-Phase Machines

Abduallah, AA, Dordevic, O, Jones, M and Levi, E (2018) Synthetic Loading for Symmetrical and Asymmetrical Nine-Phase Machines. In: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society . (IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society, 21 October 2018 - 23 October 2018, Washington DC, USA).

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Substantial amount of research and development have been conducted in relation to multiple three-phase winding machines. This is due to their reliability and fault tolerant capabilities. Development of these machines requires a few tests in order to validate machine’s design and characteristics. The full-load test is one of the most important tests. During this test the machine’s efficiency and thermal design can be evaluated under various conditions. In this paper, a new approach of conducting the full-load test of nine-phase machine is presented. The main advantage of the proposed scheme is that there is no need for mechanical coupling of the tested machine with another one. Usually, the machine is coupled with another machine, of the same or higher power rating, which is used as a load. The proposed test utilises indirect rotor field-oriented control (IRFOC) and vector space decomposition (VSD) to achieve the desired loading and hence temperature-rise in the machine. The ability to recirculate the power among the winding sets of the nine-phase machine is an advantage of the proposed scheme. In other words, the machine is loaded using its own winding sets – hence the test is classified as synthetic loading. The proposed scheme is validated through simulation results.

Item Type: Conference or Workshop Item (Paper)
Additional Information: © 2018 IEEE
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering
Divisions: Electronics & Electrical Engineering (merged with Engineering 10 Aug 20)
Publisher: IEEE
Date Deposited: 12 Feb 2019 11:05
Last Modified: 13 Apr 2022 15:17
DOI or ID number: 10.1109/iecon.2018.8592900
URI: https://researchonline.ljmu.ac.uk/id/eprint/10149
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