• DocumentCode
    1263073
  • Title

    A New Fault Diagnosis Method and a Fault-Tolerant Switching Strategy for Matrix Converters Operating With Optimum Alesina-Venturini Modulation

  • Author

    Cruz, Sérgio M A ; Mendes, André M S ; Cardoso, António J Marques

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Coimbra, Coimbra, Portugal
  • Volume
    59
  • Issue
    1
  • fYear
    2012
  • Firstpage
    269
  • Lastpage
    280
  • Abstract
    This paper presents a new diagnostic technique for the diagnosis of open-circuit faults in matrix converters operating with an Optimum Alesina-Venturini modulation scheme. Compared to previous diagnostic techniques developed for matrix converters, the technique proposed in this paper has the major advantage of not requiring the installation of any additional sensors in the converter besides the ones already present for control purposes. Hence, it can be easily integrated into the control platform of the converter at no additional cost. In addition to the diagnostic approach, a new fault-tolerant switching strategy is also presented so that after the appearance of an open-circuit fault, the matrix converter can continue to run although with degraded performance, until a repair action can be taken. Several simulation and experimental results are presented, demonstrating the effectiveness and applicability of the developed techniques.
  • Keywords
    AC-AC power convertors; fault diagnosis; matrix convertors; fault diagnosis method; fault-tolerant switching strategy; matrix converters; open-circuit faults; optimum Alesina-Venturini modulation; Circuit faults; Fault tolerance; Fault tolerant systems; Logic gates; Modulation; Switches; Voltage measurement; AC–AC power conversion; fault diagnosis; fault tolerance; matrix converters; power electronics; reliability;
  • fLanguage
    English
  • Journal_Title
    Industrial Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0046
  • Type

    jour

  • DOI
    10.1109/TIE.2011.2161062
  • Filename
    5936717