DocumentCode :
592628
Title :
Improving adaptive feedforward vibration compensation by using integral + proportional adaptation
Author :
Landau, Ioan Dore ; Airimitoaie, T.
Author_Institution :
Control Syst. Dept., Gipsa-Lab., St. Martin d´Héres, France
fYear :
2012
fDate :
10-13 Dec. 2012
Firstpage :
4412
Lastpage :
4417
Abstract :
Analysis of various adaptive feedforward vibration compensation schemes has shown that a strictly positive real (SPR) condition has to be satisfied in order to guarantee the stability of the whole system [1], [2], [3], [4]. Filters have to be implemented in order to satisfy this condition. The problem becomes even more crucial in the presence of the internal mechanical coupling between the compensator system and the reference source (a correlated measurement with the disturbance) since some information is not available when adaptation starts (see [3]). It is therefore very important to relax the SPR condition at least in the initial phase and in the same time to improve the adaptation transients. It is shown in this paper that adding a proportional adaptation to the standard integral type parametric adaptation, the SPR condition can be relaxed and the adaptation transients are improved. Theoretical developments are enhanced by real time experimental results obtained on an active vibration control (AVC) system.
Keywords :
adaptive control; compensation; feedforward; stability; vibration control; AVC system; SPR condition; active vibration control system; adaptation transient improvement; adaptive feedforward vibration compensation improvement; compensator system; correlated measurement; disturbances; filter implementation; integral-plus-proportional adaptation; internal mechanical coupling; reference source; stability guarantee; standard integral-type parametric adaptation; strictly positive real condition; Acceleration; Adaptive systems; Algorithm design and analysis; Context; Feedforward neural networks; Stability analysis; Transfer functions; active vibration control; adaptive control; adaptive feedforward compensation; parameter estimation; stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
ISSN :
0743-1546
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
Type :
conf
DOI :
10.1109/CDC.2012.6427006
Filename :
6427006
Link To Document :
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