Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
698396 | Automatica | 2007 | 7 Pages |
Abstract
Generalized adaptive notch filters are used for identification/tracking of quasi-periodically varying dynamic systems and can be considered an extension, to the system case, of classical adaptive notch filters. For general patterns of frequency variation the generalized adaptive notch filtering algorithms yield biased frequency estimates. We show that when system frequencies change slowly in a smooth way, the estimation bias can be substantially reduced by means of post-filtering of the frequency estimates. The modified (debiased) algorithm has better tracking capabilities than the original algorithm.
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Maciej Niedźwiecki, Adam Sobociński,