• DocumentCode
    2971631
  • Title

    Modelling and first order optimisation of the air-cored tubular PM machine using polynomial approximation

  • Author

    Crozier, Richard ; Mueller, Markus

  • Author_Institution
    Inst. for Energy Syst., Univ. of Edinburgh, Edinburgh
  • fYear
    2008
  • fDate
    6-9 Sept. 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Finite element analysis remains the most reliable method of simulating electromagnetic systems. When attempting to optimise a system, FEA can be computationally expensive and time consuming. This paper demonstrates the use of polynomial approximation to FEA results to minimise the necessary number of FEA simulations. Using this method, a simulation is developed, capable of accurately reproducing the magnetic field above one pole in the air-cored tubular permanent magnet machine for any combination of machine parameters in a pre-chosen design space. The same method is also employed to optimise the machine parameters to produce the maximum reaction force for a fixed current. A second optimisation is also presented based on the capital cost per average power produced per unit length of translator in a typical wave motion.
  • Keywords
    finite element analysis; permanent magnet machines; polynomial approximation; FEA simulations; air-cored tubular PM machine; air-cored tubular permanent magnet machine; electromagnetic system simulation; finite element analysis; magnetic field; maximum reaction force; polynomial approximation; Coils; Computational modeling; Electromagnetic analysis; Finite element methods; Magnetic analysis; Magnetic fields; Permanent magnet machines; Polynomials; Steel; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines, 2008. ICEM 2008. 18th International Conference on
  • Conference_Location
    Vilamoura
  • Print_ISBN
    978-1-4244-1735-3
  • Electronic_ISBN
    978-1-4244-1736-0
  • Type

    conf

  • DOI
    10.1109/ICELMACH.2008.4800133
  • Filename
    4800133