• DocumentCode
    1210135
  • Title

    A new technique for multidimensional performance optimization of switched reluctance motors for vehicle propulsion

  • Author

    Omekanda, Avoki M.

  • Author_Institution
    Delphi Res. Labs, Shelby Township, MI, USA
  • Volume
    39
  • Issue
    3
  • fYear
    2003
  • Firstpage
    672
  • Lastpage
    676
  • Abstract
    This paper presents a new and simple search technique to determine the optimum control parameters, such as turn-on and turn-off angles, current set level, etc., of a switched reluctance drive. Thanks to this new technique, several drive performance quantities such as efficiencies, torque ripple, energy consumption, torque per ampere, etc., can be optimized simultaneously over the entire torque- or power-speed operation range of the drive. In prior work, these performance quantities were sequentially optimized, one at a time, this despite reported evidence that improving one performance quantity, such as efficiency, can have a negative impact on others, such as torque ripple. The technique was successfully used offline to determine the optimum firing angles for achieving highest drive efficiency with lower torque ripple in a 102-kW switched reluctance motor drive intended for electric vehicle propulsion. The performance prediction and test results are found in good correlation.
  • Keywords
    electric propulsion; electric vehicles; machine control; machine theory; optimal control; reluctance motor drives; torque control; 102 kW; current set level; drive efficiency; efficiencies; electric vehicle propulsion; energy consumption; multidimensional performance optimization; optimum control parameters; optimum firing angles; simple search technique; switched reluctance drive; switched reluctance motor drive; switched reluctance motors; torque per ampere; torque ripple; turn-off angles; turn-on angles; vehicle propulsion; Electric vehicles; Energy consumption; Multidimensional systems; Optimization; Propulsion; Reluctance machines; Reluctance motors; Testing; Torque; Vehicle driving;
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/TIA.2003.810632
  • Filename
    1201533