• DocumentCode
    229736
  • Title

    Observer based sensorless predictive hysteresis control of a transverse flux machine

  • Author

    Bauer, J. ; Kleimaier, A.

  • Author_Institution
    Univ. of Appl. Sci. Landshut, Landshut, Germany
  • fYear
    2014
  • fDate
    22-25 Oct. 2014
  • Firstpage
    752
  • Lastpage
    757
  • Abstract
    The transversal flux machine DYNAX attracts with a high torque and high power density design while maintaining a favorable production process. The machine´s rotor angle is estimated without sensor in order to address cost sensitive higher volume applications. The sensorless control algorithm evaluates measured and observed phase currents. This observed currents and other machine parameters enable simplicity and performance of the predictive hysteresis control, which would be unstable by exclusive use of measured currents because of the sensor´s dead time and limited bandwidth. This work summarizes basic principles of predictive hysteresis control and discusses it´s embedding into the observer structure designed for sensorless angle estimation. In addition to that, a solution for a nearly constant average switching frequency is addressed and a field weakening algorithm for hysteresis control including overmodulation in motoring operation is presented. Closing with convincing results, the benefits of the combination of sensorless angle control and hysteresis current control are presented.
  • Keywords
    electric current control; observers; predictive control; sensorless machine control; DYNAX; average switching frequency; field weakening algorithm; hysteresis current control; machine rotor angle; observer based sensorless predictive hysteresis control; observer structure; phase currents; sensorless angle control; sensorless angle estimation; sensorless control algorithm; transverse flux machine; Current control; Hysteresis; Magnetic hysteresis; Observers; Rotors; Switches; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems (ICEMS), 2014 17th International Conference on
  • Conference_Location
    Hangzhou
  • Type

    conf

  • DOI
    10.1109/ICEMS.2014.7013582
  • Filename
    7013582