DocumentCode
597801
Title
Adaptive Filtered-X LMS algorithm for active vibration control on micron positioning stage
Author
Yun-Hui Liu ; Hong-Jen Lee
Author_Institution
Dept. of Mech. Eng., Southern Taiwan Univ. of Sci. & Technol., Tainan, Taiwan
fYear
2012
fDate
26-29 Nov. 2012
Firstpage
370
Lastpage
374
Abstract
The objective of this study is to develop an active vibration control (AVC) system to suppress the relative displacement between lens set and granite platform using a micron positioning stage, installed between lens set and gantry. This control system applies Filtered-X LMS adaptive algorithm as the controller, and uses the vibration signal measured by accelerometer as input signal to generate a control signal that drives piezoelectric actuator to produce anti-force to suppress vibration of the micron positioning stage. The goal of this study is to reduce 50% amplitude of the horizontally relative displacement between the lens set and granite platform under a frequency range of 1 ~ 10Hz. Through the experiments of active control, it was verified that the vibration of stage is effectively decreased to 2 ~ 4μm from 12 ~ 20μm after control under the proposed frequency range.
Keywords
accelerometers; adaptive control; least mean squares methods; maintenance engineering; mineral processing; piezoelectric actuators; production equipment; signal processing; vibration isolation; vibration measurement; AVC system; accelerometer; active vibration control; adaptive filtered-X LMS algorithm; anti-force production; array repair machine; control signal generation; frequency 1 Hz to 10 Hz; granite platform; least mean square algorithm; lens set; micron positioning stage; piezoelectric actuator; vibration signal measurement; vibration suppression; Actuators; Adaptive control; Filtering algorithms; Finite impulse response filter; Frequency control; Lenses; Vibrations; Filtered-X LMS adaptive algorithm; active control; micron positioning stage; piezoelectric actuator;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation and Information Sciences (ICCAIS), 2012 International Conference on
Conference_Location
Ho Chi Minh City
Print_ISBN
978-1-4673-0812-0
Type
conf
DOI
10.1109/ICCAIS.2012.6466621
Filename
6466621
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