• DocumentCode
    8552
  • Title

    Analysis of Electric Machine Charateristics for Robot Eyes Using Analytical Electromagnetic Field Computation Method

  • Author

    Dongwoo Kang ; Ju Lee

  • Author_Institution
    Samsung Electron., Suwon, South Korea
  • Volume
    50
  • Issue
    2
  • fYear
    2014
  • fDate
    Feb. 2014
  • Firstpage
    785
  • Lastpage
    788
  • Abstract
    This paper proposes an electromagnetic field computation method using an interpolation method with sigmoid functions. This method is useful for approximating and developing a 3-D electromagnetic field model. Particularly, the authors have been researching a spherical motor for a robotic eye. The spherical motor has a spherical air-gap unlike the radial air-gap motor or the axial air-gap motor. The spherical motor proposed in this paper realizes three degrees-of-freedom movements with only one motor. As the spherical motor has a complicated coil structure, the 3-D FEM would be essential for calculating torque while the rotor is tilted. However, 3-D FEM requires much computation time and a huge memory capacity to store the results. The electromagnetic field is rapidly calculated using an interpolation torque function proposed in this paper. The improvement of the spherical motor due to our method is verified through experiment, the results of which are compared with simulation data.
  • Keywords
    computational electromagnetics; interpolation; permanent magnet motors; robots; rotors; stators; 3D FEM; 3D electromagnetic field model; analytical electromagnetic field computation method; axial air gap motor; electric machine characteristics; interpolation method; interpolation torque function; robot eyes; robotic eye; sigmoid functions; spherical air gap; spherical motor; Coils; Electromagnetics; Interpolation; Permanent magnet motors; Rotors; Stators; Torque; Approximation methods; computational electromagnetic; humanoid robots; interpolation;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/TMAG.2013.2278937
  • Filename
    6749121