• DocumentCode
    2343814
  • Title

    Fuzzy logic approach to the gain scheduling crane control system

  • Author

    Smoczek, Jaroslaw ; Szpytko, Janusz

  • Author_Institution
    Fac. of Mech. Eng. & Robot., AGH Univ. of Sci. & Technol., Krakow, Poland
  • fYear
    2010
  • fDate
    23-26 Aug. 2010
  • Firstpage
    261
  • Lastpage
    266
  • Abstract
    The problem of crane control system is addressed in the paper to gain scheduling system created using the fuzzy controller with Takagi-Sugeno-Kang (TSK) fuzzy implications. The method of fuzzy robust crane control system designing was based on closed-loop crane control systems with conventional proportional-derivative (PD) controllers of crane position and the load swing derived for fixed rope length and mass of a load values, which are used as key-scheduling variables. The set of controllers, scheduled by fuzzy system, are determined using the pole placement method (PPM). The problem of selecting the minimal set of fuzzy system operating points was solved and described as well in the paper.
  • Keywords
    PD control; closed loop systems; cranes; fuzzy control; robust control; Takagi-Sugeno-Kang fuzzy implications; closed-loop crane control systems; fuzzy controller; fuzzy logic approach; gain scheduling; pole placement method; proportional-derivative controllers; robust crane control system; Artificial neural networks; Cranes; Equations; Mathematical model; PD control; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Methods and Models in Automation and Robotics (MMAR), 2010 15th International Conference on
  • Conference_Location
    Miedzyzdroje
  • Print_ISBN
    978-1-4244-7828-6
  • Type

    conf

  • DOI
    10.1109/MMAR.2010.5587226
  • Filename
    5587226