• DocumentCode
    3566131
  • Title

    Weight optimization of a machine for airborne wind turbines

  • Author

    Gammeter, Christoph ; Drapela, Yannick ; Tuysuz, Arda ; Kolar, Johann W.

  • Author_Institution
    Power Electron. Syst. Lab., Swiss Inst. of Technol., Zurich, Switzerland
  • fYear
    2014
  • Firstpage
    950
  • Lastpage
    958
  • Abstract
    This paper details the weight optimization of the electrical machine required for an Airborne Wind Turbine (AWT) system. Presented investigations include the analysis of the power-to-weight ratio versus efficiency limits, γ-η Pareto fronts, of radial and axial flux machine topologies, by making use of analytical models, describing the electromagnetic and thermal behaviour. A direct search method is employed rather than a cost function minimization algorithm, as the analytical models allow the evaluation of the whole design space in a computationally efficient manner. The results reveal that the best performance in this case is achieved with a radial flux machine with an internal rotor where the magnets are arranged in a Halbach configuration. Including the weight of electromagnetically inactive parts, such as bearings, shaft and housing, a power-to-weight ratio of γ ≈ 6.2 kW/kg (2.8 kW/lb), at an efficiency of η ≈ 96 %, and a rated speed of 3200 r/min is achieved.
  • Keywords
    electric machines; optimisation; search problems; space vehicle power plants; wind turbines; AWT system; Halbach configuration; Pareto fronts; airborne wind turbines; analytical models; axial flux machine topology; cost function minimization algorithm; direct search method; efficiency limits; electrical machine; electromagnetic behaviour; power-to-weight ratio analysis; radial machine topology; thermal behaviour; weight optimization; Magnetic cores; Rotors; Stators; Thermal conductivity; Thermal resistance; Windings;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, IECON 2014 - 40th Annual Conference of the IEEE
  • Type

    conf

  • DOI
    10.1109/IECON.2014.7048616
  • Filename
    7048616