Title :
The crane control systems: A survey
Author_Institution :
AGH University of Science and Technology, Faculty of Mechanical Engineering and Robotics, Krakow, Poland
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"
Conference_Titel :
Methods and Models in Automation and Robotics (MMAR), 2012 17th International Conference on
Print_ISBN :
978-1-4673-2121-1
DOI :
10.1109/MMAR.2012.6347867