DocumentCode :
425705
Title :
Study of operator behavior, learning, and performance using an input-shaped bridge crane
Author :
Khalid, Attir ; Singhose, William ; Huey, John ; Lawrence, Jason ; Frakes, David
Author_Institution :
Dept. of Mech. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Volume :
1
fYear :
2004
fDate :
2-4 Sept. 2004
Firstpage :
759
Abstract :
Input shaping is a simple way of reducing vibration in bridge cranes. Reduction of payload sway is particularly important if the crane must operate in a cluttered workspace or has to accurately position payloads. An input shaping controller has been implemented on a large bridge crane at the Georgia Institute of Technology. It is used to study the response of operators and their learning patterns while driving the crane through obstacle courses both with and without input shaping. An image processing technique was implemented to track the movement of the crane payload. Data from these experiments show that the operators performed tasks more fastly, safely, and effectively when input shaping is used.
Keywords :
behavioural sciences; cranes; image processing; motion control; shape control; vibration control; Georgia Institute of Technology; bridge cranes; cluttered workspace; crane payload movement tracking; image processing technique; input shaping controller; obstacle courses; operator behavior; operator performance; operator response; operators learning patterns; payload sway reduction; vibration reduction; Bridges; Control systems; Cranes; Humans; Image processing; Mechanical engineering; Payloads; Shape control; Tracking; Vibration control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Applications, 2004. Proceedings of the 2004 IEEE International Conference on
Print_ISBN :
0-7803-8633-7
Type :
conf
DOI :
10.1109/CCA.2004.1387305
Filename :
1387305
Link To Document :
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