• DocumentCode
    665845
  • Title

    Fault detection in multi-phase two-level inverters using Cauchy distribution of normalized phase currents

  • Author

    Salehifar, Mehdi ; Moreno-Eguilaz, Manuel ; Sala, Vicent ; Arashloo, Ramin Salehi

  • Author_Institution
    Dept. of Electron. Eng., Univ. Politec. de Catalunya, Terrassa, Spain
  • fYear
    2013
  • fDate
    10-13 Nov. 2013
  • Firstpage
    761
  • Lastpage
    766
  • Abstract
    In this paper, a novel detection algorithm for open switch fault detection is presented; fault signals are utilized to implement fault tolerant control of a five phase PMSM drive. According to the presented method, output currents of the power converter are normalized with a simple method, and then using current average value an appropriate detection index is obtained. The proposed idea is fast, simple, and robust against false alarms. It is also capable of detecting multiple open switch faults. Theory is explained; simulation results are demonstrated for different faulty modes in Matlab. Finally, simulation results of a five phase PMSM drive equipped with fault detection method with closed loop control are presented to show its effectiveness.
  • Keywords
    closed loop systems; fault tolerant control; invertors; machine control; permanent magnet motors; synchronous motor drives; Cauchy distribution; Matlab; closed loop control; current average value; detection index; fault signals; fault tolerant control; five phase PMSM drive; multiphase two-level inverters; normalized phase currents; open switch fault detection; permanent magnet synchronous motor drive; power converter; Circuit faults; Fault detection; Fault tolerance; Fault tolerant systems; Indexes; Simulation; Switches; fault detection; fault tolerant control; multi phase PMSM; multi phase power converter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
  • Conference_Location
    Vienna
  • ISSN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2013.6699230
  • Filename
    6699230