• DocumentCode
    3275004
  • Title

    Optimal tuning of scaling factors and membership functions for mamdani type PID fuzzy controllers

  • Author

    Sebastiao, Ana ; Lucena, C. ; Palma, L. ; Cardoso, A. ; Gil, Paulo

  • Author_Institution
    Dept. Eng. Electrotec., Univ. Nova de Lisboa, Almada, Portugal
  • fYear
    2015
  • fDate
    20-22 May 2015
  • Firstpage
    92
  • Lastpage
    96
  • Abstract
    This study addresses the problem of tuning Mamdani-type fuzzy Proportional-Integral-Derivative controllers by solving a constrained nonlinear optimisation problem. Two different schemes are discussed. One considers merely the scaling factors optimisation, while assuming the membership functions width unchanged. In second methodology both scaling factors and membership functions width adjusted. The cost function under minimisation is chosen as the closed loop performance index, with the system dynamics described by a nonlinear model. In addition, a set of constraints to the optimisation problem are taken into account, namely bounds on scaling factors, control actions and also on the system outputs. For the second approach, extra constraints on membership functions width are also included in problem formulation. Experimental results carried out on a Multi-Input Multi-Output benchmark system shows the out-performance of considering the optimising of both scaling factors and membership function widths.
  • Keywords
    MIMO systems; closed loop systems; fuzzy control; nonlinear control systems; optimal control; optimisation; three-term control; Mamdani type PID fuzzy controllers; closed loop performance index; constrained nonlinear optimisation; membership functions; multi-input multi-output benchmark system; optimal tuning; proportional-integral-derivative controllers; scaling factors; Biological neural networks; Cost function; Fuzzy logic; Niobium; Tuning; Mamdani type PID fuzzy controllers; membership functions; scaling factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Robotics (ICCAR), 2015 International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4673-7522-1
  • Type

    conf

  • DOI
    10.1109/ICCAR.2015.7166009
  • Filename
    7166009