• DocumentCode
    3590918
  • Title

    Leverrier algorithm based reduced order modeling of dc-dc converters

  • Author

    Garg, Man Mohan ; Hote, Yogesh V.

  • Author_Institution
    Dept. of Electr. Enginnering, Indian Inst. of Technol., Roorkee, Roorkee, India
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, mathematical modeling of dc-dc buck and boost converter is presented using Leverrier algorithm. The main advantage of this method is that there is no need to determine the inverse of a matrix and hence, this method is computationally efficient. Further, it shown that by reducing second order model of dc-dc buck and boost converter to first order, similar performance can be achieved. The simulation results and performance evaluation are carried out using MATLAB, which depicts that original system responses match well with responses of reduced order models.
  • Keywords
    DC-DC power convertors; reduced order systems; Leverrier algorithm; MATLAB; boost converter; dc-dc converters; mathematical modeling; order modeling reduction; performance evaluation; second order model; Computational modeling; DC-DC power converters; Mathematical model; Matrix converters; Reduced order systems; Transfer functions; Voltage control; Leverrier algorithm; State space averaging (SSA) technique; boost converter; buck converter; reduced order modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics (IICPE), 2014 IEEE 6th India International Conference on
  • Print_ISBN
    978-1-4799-6045-3
  • Type

    conf

  • DOI
    10.1109/IICPE.2014.7115838
  • Filename
    7115838