DocumentCode :
2465866
Title :
Improved noise sensitivity under high-gain feedback in nano-positioning motion systems
Author :
Heertjes, Marcel ; Leenknegt, George ; Van Goch, Bram ; Nijmeijer, Henk
fYear :
2009
fDate :
10-12 June 2009
Firstpage :
283
Lastpage :
288
Abstract :
To avoid an increased noise response under high-gain feedback in nano-positioning motion systems, a nonlinear (N-PID) control design is proposed. The design is of particular interest in the wafer scanning industry where nano-accuracy should be achieved under high-speed motion. In a variable gain controller setting, the N-PID control design has an observer structure with state-dependent low-pass filter characteristics. Under high-gain feedback and being induced by sufficiently large servo error signals, the nonlinear observer acts as a low-pass filter with a significantly smaller cut-off frequency as compared to the case of low-gain feedback. As a result, the high-frequency noise response that usually increases under high-gain feedback is kept limited. For a validated wafer stage model, the effectiveness of the control approach in dealing with position-dependent behavior is assessed through simulation.
Keywords :
control system synthesis; frequency response; integrated circuit manufacture; low-pass filters; motion control; nanopositioning; nonlinear control systems; observers; state feedback; three-term control; N-PID control design; high-frequency noise response sensitivity; high-gain feedback; integrated circuit manufacture; low-gain feedback; nanopositioning motion control system; nonlinear PID control design; nonlinear observer structure; servo error signal; state-dependent low-pass filter; variable gain controller; wafer scanning industry; Control design; Cutoff frequency; Feedback; Gain; Low pass filters; Low-frequency noise; Motion control; Nanopositioning; Semiconductor device modeling; Servomechanisms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2009. ACC '09.
Conference_Location :
St. Louis, MO
ISSN :
0743-1619
Print_ISBN :
978-1-4244-4523-3
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2009.5160172
Filename :
5160172
Link To Document :
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