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Investigation of a Doubly Salient Halbach Array Linear Permanent Magnet Machine for Wave Energy Converters

Lookup NU author(s): Raihan Raihan, Professor Nick BakerORCiD, Dr Kristopher Smith, Ahmed Almoraya

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This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by IEEE, 2017.

For re-use rights please refer to the publisher's terms and conditions.


Abstract

In this paper a novel E-core Linear Variable Reluctance Vernier Hybrid Permanent Magnet (LVR-VHPM) machine with inherent magnetic gearing is proposed for use in the long stroke application of a wave energy converter. The proposed topology is a combination of a doubly salient flux reversal machine, a consequent pole machine and a surface mounted Halbach array Permanent Magnet (PM) machine. The stator teeth interact with horizontally and vertically magnetized PM and ferromagnetic poles in such a way as to maximize the flux density in the machine by minimizing flux leakage. The translator is segmented to ensure the most effective use of material for minimum mass. A performance comparison study between the novel LVR-VHPM machine, a baseline linear Vernier Hybrid Permanent Magnet (VHPM) machine, a linear Halbach VHPM machine and a linear Consequent pole VHPM machine is used to show that the best result is achieved by the combined topology. All four designs consist of the same double sided E-core stators, segmented translators and an equal magnet mass.


Publication metadata

Author(s): Raihan MAH, Baker NJ, Smith KJ, Almoraya AA

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: The 20th International conference on Electrical Machines and Systems

Year of Conference: 2017

Pages: 17239598

Online publication date: 05/10/2017

Acceptance date: 01/08/2017

Date deposited: 19/09/2017

Publisher: IEEE

URL: https://doi.org/10.1109/ICEMS.2017.8056499

DOI: 10.1109/ICEMS.2017.8056499

Library holdings: Search Newcastle University Library for this item

Sponsor(s): IEEE

ISBN: 9781538632468


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