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
Link To Document