• DocumentCode
    1890151
  • Title

    Black-box modeling of low dropout voltage regulator based on two-port network parameter identification

  • Author

    Zaman, Mohd Hairi Mohd ; Mustafa, M. Marzuki ; Hussain, Aini

  • Author_Institution
    Dept. of Electr., Electron. & Syst. Eng., Univ. Kebangsaan Malaysia, Bangi, Malaysia
  • fYear
    2015
  • fDate
    6-8 March 2015
  • Firstpage
    78
  • Lastpage
    83
  • Abstract
    Low dropout (LDO) voltage regulator is used to produce regulated, constant and stable input supplies in most electronic systems. Information on the internal circuit of LDO regulator is required for the purpose of fault identification and manufacturing process analysis at the system level. However this information is not provided by the LDO regulator manufacturer in the product datasheet. Therefore this paper proposed a black-box modeling approach to model and identify the behavioral characteristic of the commercial LDO regulator. The proposed black-box modeling approach identified all g-parameter transfer function of two-port network which represent the LDO regulator. The derived transfer functions were validated and the results obtained show that the black-box model of LDO regulator can be utilized for fault diagnostic at the system level.
  • Keywords
    circuit simulation; parameter estimation; transfer functions; two-port networks; voltage regulators; black box model; fault diagnostic; fault identification; g-parameter transfer function; low dropout voltage regulator; two port network parameter identification; Autoregressive processes; Integrated circuit modeling; Mathematical model; Regulators; Transfer functions; Transient analysis; Voltage control; Low dropout; black-box model; system identification; two-port network; voltage regulator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing & Its Applications (CSPA), 2015 IEEE 11th International Colloquium on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4799-8248-6
  • Type

    conf

  • DOI
    10.1109/CSPA.2015.7225622
  • Filename
    7225622