DocumentCode
42315
Title
Improving Manual Tracking of Systems With Oscillatory Dynamics
Author
Potter, James Jackson ; Singhose, William
Author_Institution
George W. Woodruff Sch. of Mech. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Volume
43
Issue
1
fYear
2013
fDate
Jan. 2013
Firstpage
46
Lastpage
52
Abstract
This paper examines the manual control of systems with oscillatory dynamics. Tracking performance is improved by using input shaping to suppress command-induced oscillation. An operator study tested tracking behavior using controlled elements with both low-frequency (1.25 rad/s) and high-frequency (5 rad/s) oscillatory modes. After each experimental trial, measures of tracking performance and subjective task difficulty were recorded, and frequency-domain control characteristics were computed. Results showed that the high-frequency oscillatory mode did not greatly decrease the tracking performance from the nonoscillatory case; thus, input shaping did not produce a significant improvement in the tracking performance. However, input shaping did cause a decrease in the average subjective task difficulty and made the system closely resemble McRuer´s “crossover model.” For the low-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 human-machine systems that have oscillatory modes.
Keywords
frequency-domain analysis; man-machine systems; oscillations; time-varying systems; tracking; vibration control; command-induced oscillation suppression; crossover model; frequency-domain control characteristics; high-frequency oscillatory mode; human-machine system; input shaping; low-frequency oscillatory mode; manual control; manual tracking; oscillatory dynamics; tracking behavior; tracking performance improvement; Cranes; Damping; Human factors; Humans; Manuals; Oscillators; Transfer functions; Input shaping; manual tracking; vibration;
fLanguage
English
Journal_Title
Human-Machine Systems, IEEE Transactions on
Publisher
ieee
ISSN
2168-2291
Type
jour
DOI
10.1109/TSMCA.2012.2214031
Filename
6301769
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