TY - GEN
T1 - Determination of control parameters for a radio-frequency based crane controller
AU - Cardona Ujueta, Diana
AU - Peng, Kelvin Chen Chih
AU - Singhose, William
AU - Frakes, David
PY - 2010
Y1 - 2010
N2 - Human operators have difficulty driving cranes quickly, accurately, and safely because of the sluggish response of the massive structure and large payload swings. Manipulation difficulty is also increased by non-intuitive crane-control interfaces that consist of buttons and levers. A new type of crane-control interface allows operators to drive a crane by simply moving a small radio frequency emitter through the desired path. Real-time-location sensors track the movements of the radio tag. The tag position is used in a proportional feedback control scheme to drive the crane trolley toward the tag. Unfortunately, the crane payload usually responds with large-amplitude swings. Feedback control of the payload swing is not implemented, due to the difficulty of measuring the payload state. Instead, an input-shaping control element is used to limit swing. Simulations of the crane dynamics are used to select a good combination of feedback gains and input-shaper parameters. Experiments performed on an industrial bridge crane verify the effectiveness of the proposed control approach.
AB - Human operators have difficulty driving cranes quickly, accurately, and safely because of the sluggish response of the massive structure and large payload swings. Manipulation difficulty is also increased by non-intuitive crane-control interfaces that consist of buttons and levers. A new type of crane-control interface allows operators to drive a crane by simply moving a small radio frequency emitter through the desired path. Real-time-location sensors track the movements of the radio tag. The tag position is used in a proportional feedback control scheme to drive the crane trolley toward the tag. Unfortunately, the crane payload usually responds with large-amplitude swings. Feedback control of the payload swing is not implemented, due to the difficulty of measuring the payload state. Instead, an input-shaping control element is used to limit swing. Simulations of the crane dynamics are used to select a good combination of feedback gains and input-shaper parameters. Experiments performed on an industrial bridge crane verify the effectiveness of the proposed control approach.
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U2 - 10.1109/CDC.2010.5717495
DO - 10.1109/CDC.2010.5717495
M3 - Conference contribution
AN - SCOPUS:79953156411
SN - 9781424477456
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 3602
EP - 3607
BT - 2010 49th IEEE Conference on Decision and Control, CDC 2010
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 49th IEEE Conference on Decision and Control, CDC 2010
Y2 - 15 December 2010 through 17 December 2010
ER -