• DocumentCode
    1853589
  • Title

    Using oversampling techniques to extract ac machine saliency information

  • Author

    Nussbaumer, P. ; Wolbank, Th M.

  • Author_Institution
    Dept. of Electr. Drives & Machines, Vienna Univ. of Technol., Vienna, Austria
  • fYear
    2010
  • fDate
    7-10 Nov. 2010
  • Firstpage
    1035
  • Lastpage
    1040
  • Abstract
    Controlling an ac machine without speed or position sensor at zero frequency requires the extraction of its inherent or engineered saliencies. This extraction is currently linked to injected high frequency or transient test signals that are superposed to the fundamental wave. These test signals also affect noise emission, maximum inverter output voltage, and switching frequency. Different methods for an integration of the test signal injection into the fundamental wave excitation have been made, however a full integration in all operating states is still not possible. In this paper a method to extract the necessary saliency information without applying test signals is proposed and analyzed. It is based on oversampling techniques and uses the information that appears in current sensor signals during the switching transients. Different realizations are presented and their performance compared with respect to changes in the operating parameters. It is shown by measurement results that applying the proposed techniques it is possible to obtain the saliency information necessary for speed sensorless control.
  • Keywords
    AC machines; sensorless machine control; velocity control; ac machine control; ac machine saliency information; current sensor signals; noise emission; oversampling; speed sensorless control; switching frequency; switching transients; wave excitation; Accuracy; Current measurement; Inverters; Modulation; Signal to noise ratio; Switches; Transient analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Glendale, AZ
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4244-5225-5
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2010.5675510
  • Filename
    5675510