• DocumentCode
    666490
  • Title

    SVD-based indirect space vector modulation with feedforward compensation for matrix converters

  • Author

    Quanxue Guan ; Ping Yang ; Quansheng Guan ; Xiaohong Wang

  • Author_Institution
    Guangdong Key Lab. of Clean Energy Technol., China
  • fYear
    2013
  • fDate
    10-13 Nov. 2013
  • Firstpage
    4955
  • Lastpage
    4960
  • Abstract
    Owing to the absence of intermediate energy storage elements, the outputs of matrix converters are influenced easily by abnormal input voltages. To this end, this paper proposes a generalized indirect space vector modulation with feedforward compensation capacity based on the space vector representation of the switch-state transfer matrices. To simplify the calculation of the modulation duty-cycle matrix, both the singular value decomposition and the space vector modulation techniques are used to render clear physical meanings to the modulation process, and to synthesize the desired variables without complex computations. Using this approach, the duty cycles for switch combinations can be calculated online to decouple the low order harmonics in the input side from the outputs. Besides, the geometrical perspective provided by this method makes the optimization on the switching sequence convenient. The simulation results verify the validity of the proposed method in maintaining the outputs sinusoidal and balanced disregarding the abnormal input voltages.
  • Keywords
    matrix convertors; singular value decomposition; SVD-based indirect space vector modulation; feedforward compensation; matrix converters; modulation duty-cycle matrix; singular value decomposition; switch-state transfer matrices; Proposals; Support vector machines; Switches; Feedforward Compensation; Matrix Converters; Singular Value Decomposition; Space Vector Modulation;
  • 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.2013.6699937
  • Filename
    6699937