• DocumentCode
    649859
  • Title

    Fuzzy model predictive control based on modified fuzzy relational model

  • Author

    AmirAskari, Mercedeh ; Menhaj, M.B.

  • Author_Institution
    Dept. of Electr. Eng., Islamic Azad Univ., Tehran, Iran
  • fYear
    2013
  • fDate
    27-29 Aug. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, a new approach to the fuzzy model predictive control (FMPC) is presented which is based on the modified fuzzy relational model (MFRM) introduced by Aghili and Menhaj. A comparison with PID and SMC control is provided to study the proficiency of the proposed FMPC. In this regard, DC-DC converter which has highly nonlinear characteristics is considered as the plant. First, the application of MFRM for the DC-DC converter modeling is demonstrated, and the model predictive control (MPC) is then developed for this system. The mentioned control strategies are implemented for regulating the step down DC-DC converter. Lastly, the robustness of the presented FMPC, in contrast to PID and SMC schemes is evaluated in different uncertainty conditions imposed on the output.
  • Keywords
    DC-DC power convertors; fuzzy control; nonlinear control systems; power system control; predictive control; robust control; three-term control; uncertain systems; DC-DC converter modeling; FMPC; MFRM; PID control; SMC control; fuzzy model predictive control; modified fuzzy relational model; nonlinear characteristics; robustness; step down DC-DC converter; uncertainty conditions; Fuzzy Model predictive control; buck converter; modified fuzzy relational model; nonlinear system; robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (IFSC), 2013 13th Iranian Conference on
  • Conference_Location
    Qazvin
  • Print_ISBN
    978-1-4799-1227-8
  • Type

    conf

  • DOI
    10.1109/IFSC.2013.6675679
  • Filename
    6675679