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    Design optimization of ironless multi-stage axial-flux permanent magnet generators for offshore wind turbines

    245874.pdf (1.031Mb)
    Access Status
    Open access
    Authors
    Zhang, Z.
    Nilssen, R.
    Muyeen, S.M.
    Nysveen, A.
    Al-Durra, A.
    Date
    2017
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Zhang, Z. and Nilssen, R. and Muyeen, S.M. and Nysveen, A. and Al-Durra, A. 2017. Design optimization of ironless multi-stage axial-flux permanent magnet generators for offshore wind turbines. Engineering Optimization. 49 (5): pp. 815-827.
    Source Title
    Engineering Optimization
    DOI
    10.1080/0305215X.2016.1208191
    ISSN
    0305-215X
    School
    Department of Electrical and Computer Engineering
    Remarks

    This is an Author's Original Manuscript of an article published by Taylor & Francis in Engineering Optimization on 17/06/2016 available online at http://www.tandfonline.com/10.1080/0305215X.2016.1208191

    URI
    http://hdl.handle.net/20.500.11937/18747
    Collection
    • Curtin Research Publications
    Abstract

    Direct-driven ironless-stator machines have been reported to have low requirements on the strength of the supporting structures. This feature is attractive for offshore wind turbines, where lightweight generators are preferred. However, to produce sufficient torque, ironless generators are normally designed with large diameters, which can be a challenge to the machine’s structural reliability. The ironless multi-stage axial-flux permanent magnet generator (MS-AFPMG) has the advantages of ironless machines but a relatively small diameter. The objective of this article is to present the design optimization and performance investigation of the ironless MS-AFPMG. An existing design strategy, which employs two- and three-dimensional static finite element analyses and genetic algorithm for machine optimization, is improved with the aim of reducing the calculation load and calculation time. This improved design strategy is used to investigate the optimal ironless MS-AFPMG. Some intrinsic features of this kind of machine are revealed.

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