2003
DOI: 10.1016/s0022-460x(02)01220-8
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Adaptive non-linear control of a clamped rectangular plate with PZT patches

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Cited by 29 publications
(16 citation statements)
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“…The main control algorithms are used in the vibration control of smart piezoelectric cantilever beam are as followings: PD control based on optimal position feedback [12], robust control [13], adaptive control [14,15], fuzzy control [16], artificial neural network control [17], LQR control method [18][19][20][21] etc. The objective of active vibration control is to quickly suppress bending and torsional modal vibration.…”
Section: Introductionmentioning
confidence: 99%
“…The main control algorithms are used in the vibration control of smart piezoelectric cantilever beam are as followings: PD control based on optimal position feedback [12], robust control [13], adaptive control [14,15], fuzzy control [16], artificial neural network control [17], LQR control method [18][19][20][21] etc. The objective of active vibration control is to quickly suppress bending and torsional modal vibration.…”
Section: Introductionmentioning
confidence: 99%
“…In the past two decades, the problem of nonlinear vibration control of flexible structure has attracted more and more attentions, and many research outcomes have been achieved. For example, Ma 4 studied the nonlinear dynamic behavior and vibration control of a clamped rectangular plate with piezoelectric actuators, where an adaptive nonlinear controller was proposed. Lee and Guo 5 studied the active control of nonlinear vibration of a composite plate under random excitation, and four control methods (velocity feedback, lead, lag, and H) were employed in their work.…”
Section: Introductionmentioning
confidence: 99%
“…Both the larger and the smaller amplitude vibrations were suppressed effectively. Ma (2003) presented an adaptive nonlinear control scheme to investigate the vibration reduction of the clamped rectangular plate with bonded piezoelectric ceramic patches. This algorithm introduces a nonlinear function into the normal adaptive feedforward control algorithm to nonlinearize a reference signal.…”
Section: Introductionmentioning
confidence: 99%