• DocumentCode
    1510869
  • Title

    DSP-based implementation of new random switching technique of inverter control for sensorless vector-controlled induction motor drives

  • Author

    Lai, Y.S. ; Chang, S.C.

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taipei Univ. of Technol., Taipei, Taiwan
  • Volume
    146
  • Issue
    2
  • fYear
    1999
  • fDate
    3/1/1999 12:00:00 AM
  • Firstpage
    163
  • Lastpage
    172
  • Abstract
    The DSP-based implementation of a new random switching technique of inverter control for sensorless vector-controlled induction motor drives is presented. All the necessary software schemes required for the implementation of the new random switching technique of inverter control for vector-controlled induction motor drives are developed in detail. The advantages and special features of the new random switching technique are highlighted and demonstrated. It is shown how simply the control system, including the inverter controller based upon the new random switching technique, and the sensorless vector controller, can be implemented by an off-the-shelf digital signal processor (DSP) starter kit using software, without resorting to additional analogue circuits or a dedicated inverter control chip. It is thereby demonstrated that the new random switching technique of inverter control can be easily incorporated into existing vector-controlled motor drive systems. Experimental results from a DSP-based sensorless vector-controlled drive system are presented to confirm the theoretical analysis, software and hardware design
  • Keywords
    digital control; digital signal processing chips; induction motor drives; machine vector control; power engineering computing; switching; DSP; digital machine control; induction motor drives; inverter control; off-the-shelf digital signal processor; random switching technique; sensorless vector control;
  • fLanguage
    English
  • Journal_Title
    Electric Power Applications, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-2352
  • Type

    jour

  • DOI
    10.1049/ip-epa:19990117
  • Filename
    766192