• DocumentCode
    872306
  • Title

    Robust torque and torque-per-inertia optimization of a switched reluctance motor using the Taguchi methods

  • Author

    Omekanda, Avoki M.

  • Author_Institution
    Delphi Res. Labs, Shelby Township, MI, USA
  • Volume
    42
  • Issue
    2
  • fYear
    2006
  • Firstpage
    473
  • Lastpage
    478
  • Abstract
    This paper presents the use of Taguchi methods in optimizing a switched reluctance motor (SRM) for applications requiring fast actuation. In these applications, the SRM is designed to provide a high electromagnetic torque-to-inertia ratio required for high rates of mechanical acceleration. This is accomplished using two simultaneous robust optimizations of an SRM, namely: 1) an optimization of the motor torque and 2) an optimization of the torque per inertia (mechanical acceleration). The Taguchi two-step optimization method and the zero-point-proportional dynamic response were used successfully in the double optimization. Two orthogonal arrays were used to lead the design of experiments (DOE). Finite-element analysis was used to compute the performance of the motor designs generated by the Taguchi DOE.
  • Keywords
    Taguchi methods; design of experiments; dynamic response; finite element analysis; optimisation; reluctance motors; torque; Taguchi methods; design of experiments; electromagnetic torque; finite element analysis; mechanical acceleration; motor torque optimization; orthogonal arrays; switched reluctance motor; torque-per-inertia optimization; zero-point-proportional dynamic response; Acceleration; Optimization methods; Reluctance machines; Reluctance motors; Robustness; Rotors; Stators; Strontium; Torque; US Department of Energy; Design of experiments (DOE); Taguchi methods; optimization; robust design; robust engineering; switched reluctance motor (SRM);
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/TIA.2006.870031
  • Filename
    1608225