Frequency-Weighted Minimum-Variance Adaptive Control of Laser Beam Jitter

This paper introduces a frequency-weighting method for adaptive disturbance rejection. The method constrains the high-frequency gain of the prediction filter in a minimum-variance adaptive controller. In an experimental application, the method is used to control a microelectromechanical system fast...

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Bibliographic Details
Published inIEEE/ASME transactions on mechatronics Vol. 14; no. 3; pp. 337 - 348
Main Authors Perez-Arancibia, N.O., Gibson, J.S., Tsu-Chin Tsao
Format Journal Article
LanguageEnglish
Published New York IEEE 01.06.2009
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Adaptive control
Adaptive control systems
Adaptive filters
Control systems
Disturbances
Frequency
Frequency weighting
Jitter
jitter suppression
laser beam control
Laser beams
Mechatronics
Microelectromechanical systems
microelectromechanical systems (MEMS) fast steering mirrors
minimum-variance adaptive control
Noise
Noise level
Optical control
Programmable control
Spiking
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Summary:This paper introduces a frequency-weighting method for adaptive disturbance rejection. The method constrains the high-frequency gain of the prediction filter in a minimum-variance adaptive controller. In an experimental application, the method is used to control a microelectromechanical system fast steering mirror to suppress laser beam jitter. The paper analyzes the effect of sensor noise on the performance of the adaptive control system and demonstrates that sufficient levels of high-frequency noise and/or disturbance combined with control saturation produce a spiking phenomenon in the output error. The experimental results show that the frequency weighting eliminates the spiking.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
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ISSN:1083-4435
1941-014X
DOI:10.1109/TMECH.2009.2017532