Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/918812

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Title
Time-domain adaptive feed-forward control of nanopositioning systems with periodic inputs
Author/Creator
Fleming, Andrew J.
Institution
The University of Newcastle. Faculty of Engineering & Built Environment, School of Electrical Engineering and Computer Science
Description
This paper describes a method for feedforward tracking control of linear and non-linear systems with periodic desired trajectories. The method utilizes adaptive Finite Impulse Response (FIR) filters to realize an adaptive inverse control scheme. Compared to previously reported frequency domain methods, this technique can be implemented in realtime and generates a coefficient update every sampling instance. The proposed method is successfully applied to the adaptive inverse control of an experimental nanopositioning system. The maximum RMS error during both large-range and high-speed scans was 0.23%. This is comparable to previously reported frequency-domain techniques and is far superior to the performance achievable with standard feedback methods.
Relation
American Control Conference, 2009 (ACC '09). Proceedings of the American Control Conference 2009 (St Louis, MO 10-12 June, 2009) p. 1676-1681
Publisher Link
http://dx.doi.org/10.1109/ACC.2009.5160708
Date
2009
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Keyword(s)
adaptive finite impulse response filter;  adaptive inverse control;  frequency domain method;  nanopositioning system;  nonlinear system;  standard feedback method;  time-domain adaptive feed-forward control;  trajectory control
Resource Type
conference paper
Identifier
http://hdl.handle.net/1959.13/918812
Identifier
ISBN:9781424445240
Identifier
ISSN:0743-1619
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"Time-domain adaptive feed-forward control of nanopositioning systems with periodic inputs"
 
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