• DocumentCode
    3649116
  • Title

    The crane control systems: A survey

  • Author

    Paweł Hyla

  • Author_Institution
    AGH University of Science and Technology, Faculty of Mechanical Engineering and Robotics, Krakow, Poland
  • fYear
    2012
  • Firstpage
    505
  • Lastpage
    509
  • Abstract
    The paper presents a survey of proposed in the scientific works, as well as applications implemented in industrial practice of anti-sway crane control systems based on the intelligent solution (fuzzy logic, neural network and genetic algorithm and hybrid combine solution. The other part of paper contain review of solution concern crane workspace visualization techniques with obstacle identification for non-collision payload trajectory path planning. Presented solution was base on the image processing techniques, especially base on the stereovision technique.
  • Keywords
    "Cranes","Control systems","Payloads","Genetic algorithms","Fuzzy logic","Machine vision","Cameras"
  • Publisher
    ieee
  • Conference_Titel
    Methods and Models in Automation and Robotics (MMAR), 2012 17th International Conference on
  • Print_ISBN
    978-1-4673-2121-1
  • Type

    conf

  • DOI
    10.1109/MMAR.2012.6347867
  • Filename
    6347867