• DocumentCode
    2930313
  • Title

    Robust fuzzy control for inverted pendulum with model uncertainty and output constraint via LMI stability analysis

  • Author

    Gwo-Ruey Yu ; Shun-Min Wang

  • Author_Institution
    Dept. of Electr. Eng., Nat. Chung Cheng Univ., Chiayi, Taiwan
  • fYear
    2012
  • fDate
    16-18 Nov. 2012
  • Firstpage
    18
  • Lastpage
    23
  • Abstract
    This paper presents a robust controller design method for inverted pendulum with model uncertainty and output constraint via Particle Swarm Optimization (PSO) and Takagi-Sugeno (T-S) fuzzy control approach. First, the T-S fuzzy model is established for the inverted pendulum. According to the concept of parallel distributed compensation, LMI stability conditions are proposed to guarantee the T-S fuzzy control system designed via PSO is globally stable. The PSO-based T-S fuzzy controllers are designed such that the inverted pendulum is robust against model uncertainty under output constraint. Three examples demonstrate the effectiveness of this design.
  • Keywords
    compensation; control system synthesis; fuzzy control; linear matrix inequalities; nonlinear control systems; particle swarm optimisation; pendulums; robust control; LMI stability analysis; PSO; T-S fuzzy control approach; Takagi-Sugeno fuzzy control; global stability; inverted pendulum; linear matrix inequalities; model uncertainty; output constraint; parallel distributed compensation concept; particle swarm optimization; robust controller design method; robust fuzzy control; Educational institutions; Fuzzy control; Mathematical model; Nonlinear systems; Robustness; Stability analysis; Uncertainty; PSO; T-S fuzzy control; model uncertainty; output constraint;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Theory and it's Applications (iFUZZY), 2012 International Conference on
  • Conference_Location
    Taichung
  • Print_ISBN
    978-1-4673-2057-3
  • Type

    conf

  • DOI
    10.1109/iFUZZY.2012.6409669
  • Filename
    6409669