The LQR Control Active of Smart Plate Based on the Finite Element Method

Latrache, Mohamed; Amrane, Mohamed Nadir

doi:10.3311/ppme.9499

Cited by 3 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to realize the active vibration control of the plate, the linear quadratic regulator (LQR) method is adopted, and the sum of structural vibration energy and control signal energy is taken as the objective function, that is, the objective function needs to be minimized (Latrache and Amrane, 2017):…”

Section: Numerical Examples and Discussionmentioning

confidence: 99%

Optimization of the location of piezoelectric actuator and sensor in active vibration control using Multi-Verse Optimizer algorithm

Chen

Yan

et al. 2022

Journal of Intelligent Material Systems and Structures

View full text Add to dashboard Cite

In the process of using piezoelectric actuators and sensors to actively control the vibration of flexible structures, the controllability and spillover effect of the system are often the focus of attention, and the location of piezoelectric actuators and sensors is one of the key factors affecting controllability and spillover effect. In this paper, the residual modes are introduced into the location optimization criteria of actuators and sensors, so that the energy can drive as much as possible the eigenmodes that need to be controlled, and avoid driving the residual eigenmodes. At the same time, a modified Multi-Verse Optimizer (MVO) algorithm is used to optimize the location of piezoelectric actuators and sensors. The important results obtained in this paper are compared with the results obtained by the finite element simulation software to verify the accuracy of the relevant derivation results, and the optimization simulation of the position of piezoelectric actuator and the simulation of vibration control are carried out. The simulation results showed that, the MVO algorithm is very suitable for solving the optimization problems that these criteria are non-convex and difficult to derive, and the resulting optimized layout can effectively suppress vibration.

show abstract

Section: Numerical Examples and Discussionmentioning

confidence: 99%

Optimization of the location of piezoelectric actuator and sensor in active vibration control using Multi-Verse Optimizer algorithm

Chen

Yan

et al. 2022

Journal of Intelligent Material Systems and Structures

View full text Add to dashboard Cite

show abstract

An Improved FXLMS Algorithm Based on Error Weight for Active Vibration Control of Plates

Chen

Yan

et al. 2023

J. Vib. Eng. Technol.

View full text Add to dashboard Cite

Effect of the Thickness of the Piezoelectric Patches on the Active Control of a Thin Plate

Latrache

Amrane

2018

Mechanics and Mechanical Engineering

Self Cite

View full text Add to dashboard Cite

This paper presents a numerical study pertaining to on the active vibration control (AVC) of the 3-D rectangle simply supported plate bonded of the piezoelectric sensor/actuator pairs. A LQR controller is designed based on the independent mode space control techniques to stifle the vibration of the system. The change in the thickness of the patches was a clear impact on the control results, and also in the values of the voltage in actuator. The results were established by simulating in ANSYS and MATLAB.

show abstract

The LQR Control Active of Smart Plate Based on the Finite Element Method

Abstract: Abstract

Cited by 3 publications

References 9 publications

Optimization of the location of piezoelectric actuator and sensor in active vibration control using Multi-Verse Optimizer algorithm

Optimization of the location of piezoelectric actuator and sensor in active vibration control using Multi-Verse Optimizer algorithm

An Improved FXLMS Algorithm Based on Error Weight for Active Vibration Control of Plates

Effect of the Thickness of the Piezoelectric Patches on the Active Control of a Thin Plate

Contact Info

Product

Resources

About