DocumentCode :
1411417
Title :
A Discrete-Time Single-Parameter Combined Feedforward/Feedback Adaptive-Delay Algorithm With Applications to Piezo-Based Raster Tracking
Author :
Butterworth, Jeffrey A. ; Pao, Lucy Y. ; Abramovitch, Daniel Y.
Author_Institution :
Dept. of Electr., Comput., & Energy Eng., Univ. of Colorado, Boulder, CO, USA
Volume :
20
Issue :
2
fYear :
2012
fDate :
3/1/2012 12:00:00 AM
Firstpage :
416
Lastpage :
423
Abstract :
We evaluate the performance of a combined feedforward/feedback control architecture applied to the raster scan of a piezo-based positioning system. Proper design of feedforward filters for minimum and nonminimum-phase plants is discussed. Further, empirical work suggests that a nontraditional variation upon the feedforward plant-injection architecture allows our system to track a raster pattern at a greater performance level than previously achieved in our research. This variation is manifested as additional delay inserted in the feedforward control system rather than a unity-gain filter constructed from plant parameters. An online adaptive technique is used to determine the required amount of additional delay. The key benefit of the algorithm is an adaptation calculation that does not require knowledge of plant parameters. This method can be applied to piezo-based positioning systems including atomic force microscopes, other scanning probe microscopes, probe-based data storage systems or other systems in which raster tracking is a critical control objective.
Keywords :
adaptive control; atomic force microscopy; delays; discrete time systems; feedback; feedforward; filtering theory; physical instrumentation control; piezoelectric devices; position control; atomic force microscopes; discrete-time single-parameter; feedback adaptive-delay algorithm; feedback control architecture; feedforward adaptive-delay algorithm; feedforward control architecture; feedforward filters; feedforward plant-injection architecture; minimum-phase plants; nonminimum-phase plants; online adaptive technique; performance evaluation; piezo-based positioning system; piezo-based raster tracking; probe-based data storage systems; scanning probe microscopes; unity-gain filter; Adaptation models; Adaptive control; Delay; Feedforward neural networks; Frequency response; Polynomials; Transfer functions; Adaptive; atomic force microscope (AFM); feedforward; model-inverse; tracking;
fLanguage :
English
Journal_Title :
Control Systems Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6536
Type :
jour
DOI :
10.1109/TCST.2011.2178095
Filename :
6118308
Link To Document :
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