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.
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