Title
An Adaptive Algorithm For Active Vibration Control Of Parameter-Varying Systems With A New Online Secondary Path Estimation Method
Abstract
An adaptive algorithm is proposed on the basis of the filtered-x least mean square (FxLMS) algorithm for active control of parameter-varying vibration systems. The adaptive algorithm utilizes an auxiliary filter to improve online estimation of the secondary path. The secondary path is represented by the transfer functions of the auxiliary filter and the controller, and its finite impulse response (FIR) model is estimated with the LMS algorithm. Convergence analysis of the adaptive algorithm is presented as well. Both simulation and experiment were conducted to evaluate the effectiveness of the adaptive algorithm. The results have demonstrated that the adaptive algorithm is effective even in case of an abrupt change in the parameters of the secondary path.
Year
DOI
Venue
2020
10.1109/LSP.2020.2986139
IEEE SIGNAL PROCESSING LETTERS
Keywords
DocType
Volume
Finite impulse response filters, Signal processing algorithms, Filtering algorithms, Convergence, Estimation, Adaptation models, Active vibration control, FxLMS algorithm, auxiliary filter, new online secondary path estimation method
Journal
27
ISSN
Citations 
PageRank 
1070-9908
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Hongbo Zheng100.34
Dequan Yang200.34
Xiling Xie300.34
Z. Zhang430.80