2000
DOI: 10.1016/s0263-8231(00)00034-3
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Simulations and experiments on active vibration control of a plate with integrated piezoceramics

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Cited by 17 publications
(9 citation statements)
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“…Active vibration control of flexible structures using piezoelectric sensors and actuators has received much attention in recent years. Successful implementation of active adaptive control is usually based on the full understanding of the smart structure system, which significantly affects the control strategy, parameter tunings and convergence [4]. This process has proved to be tedious and difficult if it is done only by experiments.…”
Section: Introductionmentioning
confidence: 99%
“…Active vibration control of flexible structures using piezoelectric sensors and actuators has received much attention in recent years. Successful implementation of active adaptive control is usually based on the full understanding of the smart structure system, which significantly affects the control strategy, parameter tunings and convergence [4]. This process has proved to be tedious and difficult if it is done only by experiments.…”
Section: Introductionmentioning
confidence: 99%
“…Two kind of control algorithms are implemented, including conventional PD control and the discrete-time VSC control algorithm expressed by Eqs. (10) and (27) for bending vibration and using Eqs. (11) and (28) for torsional vibration, respectively.…”
Section: Experimental Researches For Active Vibration Controlmentioning
confidence: 99%
“…Active vibration control of flexible structures by using piezoelectric materials (PZT, lead zirconate titanate) as sensors/actuators has attracted considerable attention of many researchers over the past decade [7]. The previous researches of active control include dynamic modeling and controller design and implementation for flexible piezoelectric beams and plates structures, such as Bailey and Hubbard [8], Fuller [5], Clark [6], Crawley and Luis [9], Cheng [10], Shimon [11], Li [12], Qiu [2], etc. The previous control algorithms are: direct strain feedback control and direct velocity feedback (DVF) control [11]; positive position feedback (PPF) control [2]; LQG control; adaptive nonlinear control [12]; sliding mode variable structure control (VSC) [13], etc.…”
Section: Introductionmentioning
confidence: 99%
“…The control algorithms applied to active control of flexible plates include: proportional plus derivative (PD) control, positive position feedback (PPF) control, positive velocity feedback and H 1 control (Shimon et al, 2005), adaptive FIR controller based on the LMS algorithm (St-Amant and Cheng, 2000), H 1 control with m-analysis (Iorga et al, 2009), parallel neurofuzzy control with genetic algorithm tuning (Lin and Zheng, 2012), time-delay controller (Chen et al, 2009), self-adaptive neuro-controller (Valoor et al, 2000), etc. Among the implemented controllers, complex controllers are difficult to test and time-consuming due to mass computation.…”
Section: Introductionmentioning
confidence: 99%