Non-linear vibration suppression of a composite panel subject to random acoustic excitation using piezoelectric actuators
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 1153-1173 |
Journal / Publication | Mechanical Systems and Signal Processing |
Volume | 21 |
Issue number | 2 |
Publication status | Published - Feb 2007 |
Link(s)
Abstract
A coupled structural-electrical finite element model for the active control of the non-linear vibration of a composite panel bonded with piezoelectric materials under random excitation is presented in this paper. The von Karman non-linear strain-displacement relations for large deflection responses and linear piezoelectricity constitutive relations are employed. A new non-linear modal finite element formulation is developed for symmetrical vibration that differs from the models in previous studies in that the first-order non-linear terms, which depend on the unknown transverse displacement, are eliminated. The system equations of motion are transformed into a set of non-linear equations in modal coordinates. The advantage of this non-linear modal transformation method is that the sizes of the non-linear matrices are reduced drastically. The transformed system equations are then written in the state space format. Four different control methods-velocity feedback, lead, lag, and H∞-are employed and examined for cases of small- and large-amplitude vibrations. The effects of truncated modes on the control performance and comparisons of the control methods are studied. © 2006 Elsevier Ltd. All rights reserved.
Research Area(s)
- Active control, Composite plate, Finite element method, Non-linear vibration
Citation Format(s)
Non-linear vibration suppression of a composite panel subject to random acoustic excitation using piezoelectric actuators. / Lee, Y. Y.; Guo, X.
In: Mechanical Systems and Signal Processing, Vol. 21, No. 2, 02.2007, p. 1153-1173.
In: Mechanical Systems and Signal Processing, Vol. 21, No. 2, 02.2007, p. 1153-1173.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review