TY - GEN
T1 - Effects of input shaping on manual tracking with oscillatory controlled-element dynamics
AU - Potter, James J.
AU - Singhose, William E.
PY - 2012
Y1 - 2012
N2 - This paper examines the manual control of mechanical systems with oscillatory dynamics, and the effects of adding input shaping to suppress command-induced vibration. Behavior of the system is analyzed using concepts from manual control theory. A series of operator experiments tested tracking behavior using elements with a low-frequency (1.25 rad/s) and a high-frequency (5 rad/s) oscillatory mode. After each experimental trial, measures of subjective task difficulty and tracking performance were recorded, and frequency-domain control characteristics were computed. Results showed that the higher-frequency oscillatory mode did not significantly decrease tracking performance from the non-oscillatory case, so input shaping did not cause a significant improvement in tracking performance. However, input shaping did cause a decrease in average subjective task difficulty, and made the system closely resemble McRuer's crossover model. For the lower-frequency case, the addition of input shaping significantly improved the tracking performance and reduced the tracking difficulty. These results demonstrate that input shaping can greatly improve the continuous tracking ability of a human-machine system in the presence of oscillatory modes.
AB - This paper examines the manual control of mechanical systems with oscillatory dynamics, and the effects of adding input shaping to suppress command-induced vibration. Behavior of the system is analyzed using concepts from manual control theory. A series of operator experiments tested tracking behavior using elements with a low-frequency (1.25 rad/s) and a high-frequency (5 rad/s) oscillatory mode. After each experimental trial, measures of subjective task difficulty and tracking performance were recorded, and frequency-domain control characteristics were computed. Results showed that the higher-frequency oscillatory mode did not significantly decrease tracking performance from the non-oscillatory case, so input shaping did not cause a significant improvement in tracking performance. However, input shaping did cause a decrease in average subjective task difficulty, and made the system closely resemble McRuer's crossover model. For the lower-frequency case, the addition of input shaping significantly improved the tracking performance and reduced the tracking difficulty. These results demonstrate that input shaping can greatly improve the continuous tracking ability of a human-machine system in the presence of oscillatory modes.
UR - https://www.scopus.com/pages/publications/84869486356
U2 - 10.1109/acc.2012.6315556
DO - 10.1109/acc.2012.6315556
M3 - Conference contribution
AN - SCOPUS:84869486356
SN - 9781457710957
T3 - Proceedings of the American Control Conference
SP - 2775
EP - 2780
BT - 2012 American Control Conference, ACC 2012
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2012 American Control Conference, ACC 2012
Y2 - 27 June 2012 through 29 June 2012
ER -