NDLI: An IIR Youla-Kucera parametrized adaptive feedforward compensator for active vibration control with mechanical coupling

Content Provider	IEEE Xplore Digital Library
Author	Landau, I.D. Airimitoaie, T. Alma, M.
Copyright Year	2011
Description	Author affiliation: Control system department of GIPSA-Lab, St. Martin d'Héres, 38402 FRANCE (Landau, I.D.; Airimitoaie, T.; Alma, M.)
Abstract	Adaptive feedforward broadband vibration (or noise) compensation is currently used when a measurement correlated with the disturbance is available. However, in most of the systems there is a “positive” feedback coupling between the compensator system and the disturbance correlated measurement. This may lead to the instability of the system. The paper proposes a new Youla-Kucera (YK) parametrization of the compensator. The central compensator assures the stability of the system and its performances are enhanced in real time by the adaptation of the parameters of an IIR Youla-Kucera filter. An analysis of the resulting system is provided. The results of this paper on one hand generalize previous results obtained for FIR Youla-Kucera adaptive filters and on the other hand lead to a significant reduction of the number of parameter to be adapted for the same level of performance. The algorithm has been applied to an Active Vibration Control (AVC) system and real time results are presented.
Starting Page	6777
Ending Page	6782
File Size	781464
Page Count	6
File Format	PDF
ISBN	9781612848006
ISSN	07431546
e-ISBN	9781612848013
e-ISBN	9781612847993
DOI	10.1109/CDC.2011.6160221
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feedforward neural networks Automatic voltage control Actuators Equations Acceleration Couplings Algorithm design and analysis parameter estimation active vibration control adaptive feedforward compensation adaptive control Youla-Kucera parametrization
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Modeling and Simulation

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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