Title :
Hand-Motion Crane Control Using Radio-Frequency Real-Time Location Systems
Author :
Peng, Kelvin Chen Chih ; Singhose, William ; Frakes, David H.
Author_Institution :
Sch. of Mech. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
fDate :
6/1/2012 12:00:00 AM
Abstract :
Human operators have difficulty driving cranes quickly, accurately, and safely because the heavy structure of the crane responds slowly and its payload oscillates. Manipulation difficulty is increased by nonintuitive control interfaces (such as buttons, levers, and joysticks) that require substantial experience to master. This paper presents a new type of interface that allows operators to drive a crane by simply moving a hand-held radio-frequency tag through the desired path. Real-time location sensors are used to track the movements of the tag and its position is used in a feedback control loop to drive the crane. Unfortunately, crane movements usually induce large-amplitude payload oscillations. Therefore, an input-shaping control element is used to limit payload swing. Experimental results on an industrial bridge crane validate the controller performance.
Keywords :
cranes; feedback; radiofrequency identification; sensors; feedback control loop; hand-held radiofrequency tag; hand-motion crane control; human operators; industrial bridge crane; input-shaping control; large-amplitude payload oscillations; manipulation difficulty; nonintuitive control interfaces; radio-frequency real-time location systems; real-time location sensors; Bridges; Cranes; Oscillators; PD control; Payloads; Radio frequency; Sensors; Cranes; input shaping; oscillation; radio frequency (RF); real-time location;
Journal_Title :
Mechatronics, IEEE/ASME Transactions on
DOI :
10.1109/TMECH.2012.2184768