• DocumentCode
    2730220
  • Title

    Semi-Active Fuzzy Sub-Optimal Bang-Bang Control of Structure using Friction Damper

  • Author

    Zhao, Dahai ; Li, Hong-Nan

  • Author_Institution
    Sch. of Civil & Hydraulic Eng., Dalian Univ. of Technol.
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    3149
  • Lastpage
    3153
  • Abstract
    The implementation of semi-active friction damper for the vibration control of structures generally requires an efficient control law. Based on the fuzzy logic of the Takagi-Sugeno (T-S) model and the bang-bang control algorithm, a fuzzy sub-optimal bang-bang control method is proposed. Genetic algorithm is used to determine the optimal control force in the T-S model. The relative performance index is utilized as the objective function. A building structure with a semi-active friction damper is applied as numerical example, and its seismic reduction effectiveness and adaptability are investigated. The results indicate that the proposed control strategy not only effectively suppresses the structural vibration but also is adaptive to varying excitations from weak to strong earthquakes
  • Keywords
    bang-bang control; friction; fuzzy control; fuzzy logic; genetic algorithms; shock absorbers; suboptimal control; vibration control; Takagi-Sugeno model; fuzzy logic; fuzzy suboptimal bang-bang control; genetic algorithm; optimal control force; relative performance index; seismic reduction; semiactive friction damper; vibration control; Bang-bang control; Damping; Friction; Fuzzy control; Fuzzy logic; Genetic algorithms; Optimal control; Shock absorbers; Takagi-Sugeno model; Vibration control; Bang-Bang control; Friction damper; Fuzzy logic; Genetic algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Conference_Location
    Dalian
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1712947
  • Filename
    1712947