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A space vector PWM algorithm for a three-level asymmetrical six-phase motor drive

Engku Ariff, EAR, Dordevic, O and Jones, M (2019) A space vector PWM algorithm for a three-level asymmetrical six-phase motor drive. IET Electric Power Applications. ISSN 1751-8679

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A space vector pulse-width modulation (SVPWM) algorithm for a three-level asymmetrical six-phase drive based on vector space decomposition (VSD) approach is presented in this paper. A modification in zero plane of the transformation matrix is proposed in order to meet the requirement that the realisation of sinusoidal output phase voltages can be obtained through the chosen output leg voltage space vectors. Furthermore, a method of choosing the switching sequences based on all possible one-level transitions of the leg voltages, i.e. a permutation method, is introduced. The algorithm is then validated experimentally and obtained results show that the developed method successfully achieves the desired fundamental phase voltage, although low order harmonics are present due to uncompensated inverter dead time. Last but not least, the performance of the proposed SVPWM algorithm is compared to several carrier-based PWM algorithms including in-phase disposition with ‘double min-max injection’ (PD-DI). This is a little known type of injection, which is verified to obtain identical performance as the presented multilevel algorithm.

Item Type: Article
Additional Information: This paper is a postprint of a paper submitted to and accepted for publication in IET Electric Power Applications and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at the IET Digital Library.
Uncontrolled Keywords: 0906 Electrical and Electronic Engineering
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering
Divisions: Electronics & Electrical Engineering (merged with Engineering 10 Aug 20)
Publisher: Institution of Engineering and Technology
Date Deposited: 05 Jun 2019 08:07
Last Modified: 04 Sep 2021 09:20
DOI or ID number: 10.1049/iet-epa.2019.0059
URI: https://researchonline.ljmu.ac.uk/id/eprint/10809
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