• DocumentCode
    750322
  • Title

    High-dynamic direct average torque control for switched reluctance drives

  • Author

    Inderka, Robert B. ; De Doncker, Rik W A A

  • Author_Institution
    Inst. for Power Electron. & Electr. Drives, Aachen Univ., Germany
  • Volume
    39
  • Issue
    4
  • fYear
    2003
  • Firstpage
    1040
  • Lastpage
    1045
  • Abstract
    A technique was developed to estimate online average torque of switched reluctance machines. This novel online average torque and energy ratio estimation technique can be used for closed-loop torque control, i.e., direct average torque control. This closed-loop torque control algorithm continuously adjusts the reference torque by changing switching angles and reference current to maintain constant and accurate average shaft torque at a commanded torque level. Using the estimated average torque for regulation, the control structure can be simplified and decoupled from DC-bus voltage variations and other secondary control input parameters, such as temperature. The switched reluctance drive controller used in this study was developed and implemented for a 55 W electric-vehicle traction drive.
  • Keywords
    closed loop systems; electric vehicles; machine control; reluctance motor drives; torque control; traction motor drives; 55 kW; DC-bus voltage variations; closed-loop torque control; commanded torque level; direct average torque control; electric-vehicle traction drive; energy ratio estimation technique; estimated average torque; high-dynamic direct average torque control; online average torque estimation; secondary control input parameters; switched reluctance drive controller; switched reluctance drives; switching angles; Electric variables control; Magnetic switching; Magnetic variables control; Magnetization; Open loop systems; Reluctance machines; Table lookup; Temperature control; Torque control; Voltage control;
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/TIA.2003.814579
  • Filename
    1215435