• DocumentCode
    666299
  • Title

    Takagi-Sugeno Fuzzy model and control of a boost converter using Type-I Internal Model Control

  • Author

    Cordero Garcia, Raymundo ; Suemitsu, W.I. ; Pereira Pinto, Joao Onofre

  • Author_Institution
    Dept. of Electr. Eng. - COPPE, Fed. Univ. of Rio de Janeiro, Rio de Janeiro, Brazil
  • fYear
    2013
  • fDate
    10-13 Nov. 2013
  • Firstpage
    3794
  • Lastpage
    3799
  • Abstract
    This paper describes the integration of a Type-I Internal Model Converter (IMC) with the Takagi-Sugeno Fuzzy (TS) modeling technique of a boost converter, in order to control the output of this DC-DC converter. The IMC used in this work adds an integrator to the TS local models, which allows the tracking of step references, according to the internal control principle. Linear matrix inequalities (LMIs) are used to calculate the local controllers, in order to guarantee an asymptotic stability, robustness against variation in the parameters and set the dynamics of the closed-loop control system. Simulation and experimental results proves that the proposed control technique have a good performance and a negligible steady-state error for step references.
  • Keywords
    DC-DC power convertors; asymptotic stability; closed loop systems; fuzzy control; linear matrix inequalities; DC-DC converter; IMC; LMI; TS local models; Takagi-Sugeno fuzzy control; Takagi-Sugeno fuzzy modeling technique; asymptotic stability; boost converter; closed-loop control system; internal control principle; linear matrix inequalities; local controllers; steady-state error; type-I internal model control; Inductors; Load modeling; Mathematical model; Regulators; Simulation; Takagi-Sugeno model; Voltage control; Boost converter; Takagi-Sugeno Fuzzy modeling; internal model control; linear matrix inequalities; robust control;
  • 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.2013.6699740
  • Filename
    6699740