Active Vibration Control of Rib Stiffened Plate by Using Decentralized Velocity Feedback Controllers with Inertial Actuators

Ma, Xiyue; Wang, Lei; Xu, Jilian

doi:10.3390/app9153188

Cited by 8 publications

(6 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Feedback control only needs to detect the residual vibration of the controlled object, without paying attention to the source of vibration. Reference [14] presented an investigation on the performance of active vibration control of the rib-stiffened plate by using only residual velocity feedback signal. An adaptive feedback control system is designed for the unknown vibration disturbance suppression of a lathe system in Reference [15], in which an adaptive algorithm is introduced to adjust the feedback controller in real time according to the unknown residual acceleration feedback signal.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Deterministic Vibration Control of a Piezo-Actuated Active–Passive Isolation Structure

Li¹,

Yuan²,

Qian³

et al. 2021

Applied Sciences

View full text Add to dashboard Cite

With the improvement of the performance of optical equipment carried by on-orbit spacecraft, the requirements of vibration isolation are increasing. Passive isolation platforms are widely used, but the ability to suppress the low-frequency deterministic vibration disturbance is limited, especially near the system’s natural frequency. Therefore, an active vibration control strategy is proposed to improve passive isolation performance. In this paper, a Youla parameterized adaptive active vibration control system is introduced to improve the isolation performance of a piezo-actuated active–passive isolation structure. A linear quadratic Gaussian (LQG) central controller is first designed to shape the band-limited local loop of the closed-loop system. Then, the central controller is augmented into a Youla parameterized adaptive regulator with the recursive least square adaptive algorithm, and the Youla parameters (Q parameters) can be adjusted online to the desired value to suppress the unknown and time-varying multifrequency deterministic vibration disturbance. In the experiment, the residual vibration with respect to the combination of multiple frequencies is effectively suppressed by more than 20 dB on average, and a quick response time of less than 0.3 s is achieved when the deterministic residual vibration changes suddenly over time. The experimental results illustrate that the proposed adaptive active vibration control system can effectively suppress the low-frequency deterministic residual vibration.

show abstract

Section: Introductionmentioning

confidence: 99%

Adaptive Deterministic Vibration Control of a Piezo-Actuated Active–Passive Isolation Structure

Li¹,

Yuan²,

Qian³

et al. 2021

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…Globally, many engineers have tried to increase the stiffness by using composite stiffened structures in the space launch vehicle. Nowadays, Ma et al [12,13] studied active vibration control and sound radiation from a rib stiffened panel using velocity feedback method. Also, Liu et al [14] presented the dynamic analytical solution of piezoelectric stack using piezo-elasticity theory.…”

Section: Introductionmentioning

confidence: 99%

Active Vibration Suppression of Stiffened Composite Panels with Piezoelectric Materials under Blast Loads

2020

View full text Add to dashboard Cite

Transient responses of stiffened panels with piezoelectric sensors and actuators are studied under normal blast loads. The air vehicles could be exposed to blast pulses generated by an explosion or shock-wave disturbances. Thus, active vibration suppression of the vehicles is important under blast loadings. The structural model is designed as a laminated composite panel with lead zirconate titanate (PZT) piezoceramic layers embedded on both top and bottom surfaces. A uniformly distributed blast load is assumed over the whole of the panel surface. The first-order shear deformation theory of plate is adopted, and the extended Hamilton’s principle is applied to derive the equations of motions. The numerical model is verified by the comparison with previous data. Using linear quadratic regulator (LQR) control algorithm, vibration characteristics and dynamic responses are compared. As piezoelectric patches are attached on the whole of the surface, the effect of the stiffener’s location is studied. Furthermore, the influences of the patch’s positions are also investigated through subjection to the blast wave. From various results, in order to get the best control performances, the research aims to find the optimum position of sensor and actuator pairs that is most effective under blast load environments.

show abstract

“…Demetriou and Nikitas [21] proposed a novel hybrid control device as an algorithm to reduce building vibration and compared the performance of a tuned mass damper (TMD), a semi-active TMD, and an active TMD. Ma et al [22] studied numerically the performance of active vibration control on a rib-stiffened plate by using velocity feedback controllers of early actuators. Research using modal energy started from the semi-active and passive control field [23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Modal-Energy-Based Neuro-Controller for Seismic Response Reduction of a Nonlinear Building Structure

Chang

Sung

2019

Applied Sciences

View full text Add to dashboard Cite

This study presents a neuro-control algorithm based on structural modal energy that outputs an optimal control signal to reduce vibration during earthquakes. The modal energy of a structure is used in the objective function during the training process of a neural network. The modal energy and control signal are then minimized by the proposed neuro-control technique. A three-story nonlinear building was installed with an active mass damper, which was used to verify the applicability of the proposed control algorithm. The El Centro earthquake was adopted to train the modal-energy-based neuro-controller. The six recorded earthquakes were employed to consider unknown earthquake effects after training. The results obtained from the proposed control algorithm were compared with those obtained from a non-controlled response and a multilayer perceptron. The numerical results show that the proposed control algorithm is quite effective in reducing the structural response and modal energy. While nonlinear hysteretic behaviors appear in the non-controlled responses, these nonlinear behaviors almost entirely disappear with control.

show abstract

Active Vibration Control of Rib Stiffened Plate by Using Decentralized Velocity Feedback Controllers with Inertial Actuators

Cited by 8 publications

References 28 publications

Adaptive Deterministic Vibration Control of a Piezo-Actuated Active–Passive Isolation Structure

Adaptive Deterministic Vibration Control of a Piezo-Actuated Active–Passive Isolation Structure

Active Vibration Suppression of Stiffened Composite Panels with Piezoelectric Materials under Blast Loads

Modal-Energy-Based Neuro-Controller for Seismic Response Reduction of a Nonlinear Building Structure

Contact Info

Product

Resources

About