A vision-based vibration sensing and active control for a piezoelectric flexible cantilever plate

Qiu, Zhi-cheng; Zhang, Xiangtong; Zhang, Xianmin; Han, Jianda

doi:10.1177/1077546314536752

Cited by 24 publications

(16 citation statements)

References 21 publications

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“…To design vibration active control systems, both control strategies and structure characteristics need to be seriously considered. Piezoelectric flexible structures, such as plates and shells, challenge researchers in vibration active control for their complexity in the vibration modes [11][12][13]. In addition, using one single actuator-sensor pair bonded on a plate is obviously unreasonable to suppress all vibration modes and to identify dynamic responses for all locations on the plate.…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Adaptive Iterative Learning Method for Active Vibration Control Based on Imprecise Probability

Bai

Yang

et al. 2019

Symmetry

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A data-driven adaptive iterative learning (IL) method is proposed for the active control of structural vibration. Considering the repeatability of structural dynamic responses in the vibration process, the time-varying proportional-type iterative learning (P-type IL) method was applied for the design of feedback controllers. The model-free adaptive (MFA) control, a data-driven method, was used to self-tune the time-varying learning gains of the P-type IL method for improving the control precision of the system and the learning speed of the controllers. By using multi-source information, the state of the controlled system was detected and identified. The square root values of feedback gains can be considered as characteristic parameters and the theory of imprecise probability was investigated as a tool for designing the stopping criteria. The motion equation was driven from dynamic finite element (FE) formulation of piezoelectric material, and then was linearized and transformed properly to design the MFA controller. The proposed method was numerically and experimentally tested for a piezoelectric cantilever plate. The results demonstrate that the proposed method performs excellent in vibration suppression and the controllers had fast learning speeds.

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Section: Introductionmentioning

confidence: 99%

Data-Driven Adaptive Iterative Learning Method for Active Vibration Control Based on Imprecise Probability

Bai

Yang

et al. 2019

Symmetry

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“…The SSD method shows its great potential in vibration control because of several advantages. Recently, a number of investigations have been carried out with the aim of improving the control performance using the SSD method [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Superharmonic vibration and its reduction in SSD control by increase of voltage inversion time

Tan

Qiu

et al. 2018

Smart Mater. Struct.

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The semi-active synchronized switch damping (SSD) approach has been widely used in vibration suppression owing to its many advantages compared with the active and passive approaches. The SSD method is realized by switching the voltage on the piezoelectric patch embedded in the structure, synchronically with the vibration of the mode to be controlled. Although good control performance can be obtained in the targeted mode, vibrations of highorder harmonic frequencies are usually excited due to the rectangular waveform of the switched actuator voltage because of infinitesimal inversion time, as observed in the previous experiments. This drawback of the SSD method has greatly hindered its application in practical engineering structures. In order to overcome this drawback, the authors propose a new method in this study to suppress the high-order harmonic components in the switched voltage by increasing the inversion time of the voltage. The theoretical expressions of the switched voltage and the dynamic response of the structure were formulated for the cases with finite voltage inversion time. The theoretical results show that increasing the inversion time may weaken the vibration control effect of the targeted mode, but it can significantly reduce the excitation force of the highorder harmonic components. When the inversion time is half of the period of the targeted mode, all the high-order harmonic components in the actuator voltage are completely erased and the control force of the targeted mode decreases by 21%. An experimental setup of a flexible beam was used to verify the theoretical results of the switched voltage and control performance under different inversion time.

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“…A combined use of camera and PZT patches can be found in the work of Qiu et al (2016), where, however, the PZT patches are used as actuators. In fact, a visual sensor is used to measure the vibration of a flexible cantilever plate.…”

Section: Introductionmentioning

confidence: 99%

Monitoring of a controlled space flexible multibody by means of embedded piezoelectric sensors and cameras synergy

Ribet

Sabatini

Lampani

et al. 2018

Journal of Intelligent Material Systems and Structures

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Interaction between elastic dynamics and attitude control is a serious problem in space operations, which often involve satellites with highly flexible appendages. Monitoring and eventually control of the vibrations are a major concern to avoid a decrease in the expected performance. In particular, the classic case of a central bus with two lateral appendages (solar panels) is considered. The design of a system for structural vibration monitoring is proposed both from a numerical and an experimental point of view. Piezoelectric devices are a usual solution for measuring the deformation of the structures. In the proposed work, optical sensors are also implemented: the combined use of the two sets allows for the monitoring of the elastic displacement of the solar panels and for the reconstruction of the modal shapes of the entire flexible multibody system.

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A vision-based vibration sensing and active control for a piezoelectric flexible cantilever plate

Cited by 24 publications

References 21 publications

Data-Driven Adaptive Iterative Learning Method for Active Vibration Control Based on Imprecise Probability

Data-Driven Adaptive Iterative Learning Method for Active Vibration Control Based on Imprecise Probability

Superharmonic vibration and its reduction in SSD control by increase of voltage inversion time

Monitoring of a controlled space flexible multibody by means of embedded piezoelectric sensors and cameras synergy

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