2026-09-20T02:05:54Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/83879 2023-07-11 col_2142_5131 col_2142_14787 com_2142_5130 com_2142_9630 com_2142_234

Andrew Alleyne Bristow, Douglas Ashby 2015-09-25T21:12:34Z 2015-09-25T21:12:34Z 10000-01-01 2007 2007 Second, we develop a set of time-frequency ILC design and analysis techniques. These techniques are used to custom-design the ILC for precision tracking of aggressive trajectories suitable for rapid microscale and nanoscale manufacturing, assembly, or scanning. They are also useful for applications where disturbance signals may change rapidly such as in micro- and nano-materials testing. The time-frequency ILC is applied to a 3-DOF piezo driven flexure stage yielding 4x higher bandwidth over the original feedback controller and achieving 1500 Hz tracking bandwidth during critical partitions of a given trajectory. Made available in DSpace on 2015-09-25T21:12:34Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3290184.pdf: 4200038 bytes, checksum: 000d0822dde4495cc008d1cd7cd4c6cf (MD5) Previous issue date: 2007 Embargo set by: Seth Robbins for item 85160 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 154 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007. http://hdl.handle.net/2142/83879 (MiAaPQ)AAI3290184 eng Engineering, Mechanical Iterative Learning Control for Precision Motion Control of Microscale and Nanoscale Tracking Systems text Mechanical Engineering Mechanical Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.