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Control of modulated vibration using an enhanced adaptive filtering algorithm based on model-based approach

Authors :
Kim, Byeongil
Washington, Gregory N.
Singh, Rajendra
Source :
Journal of Sound & Vibration. Aug2012, Vol. 331 Issue 18, p4101-4114. 14p.
Publication Year :
2012

Abstract

Abstract: Conventional adaptive filtering algorithms, typically limited to the control of single or multiple sinusoids, are not appropriate to control modulated vibrations, especially in the presence of rich side band structures. To overcome this deficiency, a new control algorithm is proposed that introduces a feedback loop with the model predictive sliding mode control (MPSMC) in the adaptive filtering system. Several amplitude and frequency modulation cases are first computationally studied, and conventional and proposed methods are comparatively evaluated in terms of estimation error, performance in time and frequency domains, stability, and uncertainty in the reference signal. To experimentally validate the proposed algorithm, an active strut (with longitudinal vibrations) is constructed. Overall, the proposed adaptive algorithm yields superior reductions at the main frequencies and at side bands; also, good attenuation is found on a broadband basis. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
0022460X
Volume :
331
Issue :
18
Database :
Academic Search Index
Journal :
Journal of Sound & Vibration
Publication Type :
Academic Journal
Accession number :
76148541
Full Text :
https://doi.org/10.1016/j.jsv.2012.04.007