2011
DOI: 10.1109/tcst.2010.2091642
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Directional Repetitive Control of a Metrological AFM

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Cited by 11 publications
(7 citation statements)
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“…[203][204][205] Recently, a feedback-based approach known as repetitive control (RC) was exploited for tracking periodic trajectories in nanopositioning applications including high-speed and metrological AFMs. 20,206,207 The RC provides high gain at the harmonics of the reference trajectory by incorporating a signal generator within the feedback loop. 208,209 For piezobased nanopositioning systems, the RC can be designed for low tracking error in the presence of dynamic and hysteresis effects.…”
Section: B Techniques For High-speed Nanopositioningmentioning
confidence: 99%
“…[203][204][205] Recently, a feedback-based approach known as repetitive control (RC) was exploited for tracking periodic trajectories in nanopositioning applications including high-speed and metrological AFMs. 20,206,207 The RC provides high gain at the harmonics of the reference trajectory by incorporating a signal generator within the feedback loop. 208,209 For piezobased nanopositioning systems, the RC can be designed for low tracking error in the presence of dynamic and hysteresis effects.…”
Section: B Techniques For High-speed Nanopositioningmentioning
confidence: 99%
“…Although existing work on robust RC has dealt with both uncertainties in the signal period [30,17,31,32] and the plant [7,33,34,35], such works are not immediately applicable since this work considers a known reference period, and the chosen structure of the overall control scheme and type of uncertainty differs from what has been previously studied. A tuning method to ensure robust stability for the RC scheme is therefore proposed.…”
Section: Outlinementioning
confidence: 99%
“…Periodic reference trajectories occur in both imaging and manipulation applications of SPM equipment. Recently, repetitive control (RC) has been introduced for nanopositioning systems (Aridogan et al, 2009;Merry et al, 2011;Shan and Leang, 2012b). The RC scheme is based on the internal model principle (Francis and Wonham, 1976) and it is specifically tailored to track periodic reference trajectories.…”
Section: Introductionmentioning
confidence: 99%