4.6 Article

Modeling and Vibration Control of Sandwich Composite Plates

期刊

MATERIALS
卷 16, 期 3, 页码 -

出版社

MDPI
DOI: 10.3390/ma16030896

关键词

sandwich composites; finite element modeling; model order reduction; LQR controller; parameter optimization

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A finite element dynamic model of a sandwich composite plate was developed using classical laminate theory and Hamilton's principle. The model has good controllability and observability after adopting the joint reduced-order method. An optimal quadratic (LQR) controller was designed for active control of the sandwich panel, and simulation analysis was used to optimize the controller parameters, viscoelastic layer thickness, and sandwich panel covering position. Results showed that the finite element model accurately represented the dynamic characteristics of the original system, and LQR control effectively suppressed vibration of the sandwich plate. The optimal covering position was near the solid support end and the parameters were optimized based on different angles.
A finite element dynamic model of the sandwich composite plate was developed based on classical laminate theory and Hamilton's principle. A 4-node, 7-degree-of-freedom three-layer plate cell is constructed to simulate the interaction between the substrate, the viscoelastic damping layer, and the piezoelectric material layer. Among them, the viscoelastic layer is referred to as the complex constant shear modulus model, and the equivalent Rayleigh damping is introduced to represent the damping of the substrate. The established dynamics model has too many degrees of freedom, and the obtained dynamics model has good controllability and observability after adopting the joint reduced-order method of dynamic condensation in physical space and equilibrium in state space. The optimal quadratic (LQR) controller is designed for the active control of the sandwich panel, and the parameters of the controller parameters, the thickness of the viscoelastic layer, and the optimal covering position of the sandwich panel are optimized through simulation analysis. The results show that the finite element model established in this paper is still valid under different boundary conditions and different covering methods, and the model can still accurately and reliably represent the dynamic characteristics of the original system after using the joint step-down method. Under different excitation signals and different boundary conditions, the LQR control can effectively suppress the vibration of the sandwich plate. The optimal cover position of the sandwich plate is near the solid support end and far from the free-degree end. The parameters of controller parameters and viscoelastic layer thickness are optimized from several angles, respectively, and a reasonable optimization scheme can be selected according to the actual requirements.

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