• DocumentCode
    2226951
  • Title

    Efficient torque ripple minimization for variable reluctance motors

  • Author

    Hung, John Y.

  • Author_Institution
    Dept. of Electr. Eng., Auburn Univ., AL, USA
  • fYear
    1993
  • fDate
    15-19 Nov 1993
  • Firstpage
    2104
  • Abstract
    Addresses the design of current waveforms that minimize torque ripples in variable reluctance (VR) motors at low excitation levels. The general problem of torque ripple reduction has been investigated before by several researchers, but the approach presented here exploits magnetic linearity to derive an efficient excitation that is much easier to calculate. A nonlinear optimal design problem is developed and then converted to a linear representation by a simple transformation. The transformed linear optimization problem is straightforwardly solved by standard numerical methods, and yields the optimal current waveform in a transformed variable. Finally, the optimal current waveform is found by applying an inverse transformation. The analytical result presented in this paper is supplemented by a design example
  • Keywords
    machine control; optimisation; reluctance motors; current waveforms; inverse transformation; linear representation; low excitation levels; nonlinear optimal design problem; torque ripple minimization; variable reluctance motors; Brushless DC motors; DC motors; Reluctance motors; Rotors; Servomotors; Stators; Teeth; Torque; Traction motors; Virtual reality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, Control, and Instrumentation, 1993. Proceedings of the IECON '93., International Conference on
  • Conference_Location
    Maui, HI
  • Print_ISBN
    0-7803-0891-3
  • Type

    conf

  • DOI
    10.1109/IECON.1993.339401
  • Filename
    339401