• DocumentCode
    2457023
  • Title

    Predictive control algorithm robustness for achieving fault tolerance in multicell converters

  • Author

    Aguilera, Ricardo P. ; Quevedo, Daniel E. ; Summers, Terry J. ; Lezana, Pablo

  • Author_Institution
    Sch. of Electr. Eng. Comput. Sci., Univ. of Newcastle, Newcastle, NSW
  • fYear
    2008
  • fDate
    10-13 Nov. 2008
  • Firstpage
    3302
  • Lastpage
    3308
  • Abstract
    Multilevel Converters (MCs) have emerged as a promising alternative to traditional two level converters. MCs use an arrangement of several semiconductors to synthesize high quality output voltage levels. Unfortunately, as a consequence of using more switching elements, MCs are, in general, more likely to be affected by faults, than their two level counterparts. In this paper, we propose a finite set constrained predictive control method for MCs, which is aimed at achieving robustness to failures in the semiconductors. We focus on three-phase multicell flying capacitor converters and show that, by carefully designing switching sequences, faults can be isolated from measurements provided by a single voltage sensor per phase. When faults occur, the proposed controller reconfigures the converter to provide to the load voltages which are similar to those obtained under normal, i.e., fault free, operating conditions.
  • Keywords
    fault tolerance; power capacitors; power convertors; predictive control; robust control; fault tolerance; predictive control algorithm; robustness; switching sequence design; three-phase multicell flying capacitor converter; Capacitors; Circuit faults; Fault detection; Fault tolerance; Prediction algorithms; Predictive control; Pulse width modulation; Robust control; Switches; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2008. IECON 2008. 34th Annual Conference of IEEE
  • Conference_Location
    Orlando, FL
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4244-1767-4
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2008.4758489
  • Filename
    4758489