• DocumentCode
    1618112
  • Title

    Multilevel inverter neutral-point voltage sensor diagnostic based on the Extended Kalman Filter

  • Author

    Szczepankowski, Pawel ; Kolodziejek, P.

  • Author_Institution
    Fac. of Electr. & Control Eng., Gdansk Univ. of Technol., Gdansk, Poland
  • fYear
    2013
  • Firstpage
    1676
  • Lastpage
    1683
  • Abstract
    A new algorithm for neutral point voltage imbalance estimation in DC link of the three-level (3L) neutral point clamped (NPC) voltage source inverter (VSI) is proposed. Application of the proposed algorithm does not require any additional sensors. The unbalanced voltage calculation is based on the information derived from the inverter output measured currents and from the knowledge of the load model parameters. In order to estimate the unbalanced voltage Extended Kalman Filter is used to model non-stationary object. Proposed algorithm can be used for sensorless operation without voltage sensor at the neutral point and can be used also for the voltage sensor diagnostic purposes by comparison of the estimated and measured values. Proposed algorithm implementation provides redundancy and improved reliability of the inverter.
  • Keywords
    Kalman filters; invertors; voltage distribution; voltage measurement; 3L NPC voltage source inverter; DC link; extended Kalman filter; load model parameters; multilevel inverter; neutral point voltage imbalance estimation; neutral-point voltage sensor diagnostic; three-level neutral point clamped VSI; unbalanced voltage; Current measurement; Estimation; Inverters; Load modeling; Switches; Vectors; Voltage measurement; Extended Kalman Filter; computational redundancy; multilevel inverter; neutral point voltage stabilization; sesnsor diagnostics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering, Energy and Electrical Drives (POWERENG), 2013 Fourth International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    2155-5516
  • Type

    conf

  • DOI
    10.1109/PowerEng.2013.6635869
  • Filename
    6635869