• DocumentCode
    1839798
  • Title

    Predictive control of a back to back motor drive based on Diode Clamped Multilevel converters

  • Author

    Verne, Santiago A. ; Valla, María I.

  • Author_Institution
    Univ. Nac. de La Plata & CONICET, La Plata, Argentina
  • fYear
    2010
  • fDate
    7-10 Nov. 2010
  • Firstpage
    2972
  • Lastpage
    2977
  • Abstract
    In this work, a Back to Back converter based on a Diode Clamped Multilevel topology is presented. Both converters are controlled using model predictive approach. The control objective of the front-end converter is the DC bus voltage regulation with sinusoidal current and unity power factor, while the load converter drives an induction motor through predictive direct torque control. Both algorithms search for the best switching combination in order to optimize their corresponding control targets and also the voltage balance issue. Both switching sequence controllers are carried out autonomously with no need of information exchange about converter states. The performance of the conversion system is evaluated by means of computer simulations.
  • Keywords
    induction motor drives; machine control; power convertors; predictive control; time-varying systems; torque control; voltage control; DC bus voltage regulation; back to back motor drive; computer simulations; conversion system; diode clamped multilevel converters; diode clamped multilevel topology; front-end converter; induction motor; load converter; model predictive approach; predictive direct torque control; sinusoidal current; switching sequence controllers; Capacitors; Converters; Inverters; Reactive power; Rectifiers; Switches; Voltage control; Multilevel converters; direct torque control; model predictive control; voltage balance;
  • 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.2010.5674940
  • Filename
    5674940