Robust Vibration Control of Composite Beams using Piezoelectric Devices and Neural Networks
Abstract
A finite element model of a laminated composite beam with integrated piezoelectric sensors and actuators was developed. The finite element formulation, which was based on a higher order shear deformation theory and accounts for the lateral strains, is applicable for both thin and thick laminated composite beams. The reduced order model was used to develop a state space model of the system. An LQG/LTR based robust controller was designed using the state space model of the system. The performance of the controller was verified for various arbitrary initial conditions. A system of neural networks was then trained to emulate the robust controller. A robustness study including effects of tip mass, structural parameter variation, and loss of a sensor input was performed. The NN controller is shown to provide robustness and control capabilities equivalent to that of the LQG/LTR controller.
Recommended Citation
C. P. Smyser et al., "Robust Vibration Control of Composite Beams using Piezoelectric Devices and Neural Networks," Intelligent Engineering Systems Through Artificial Neural Networks, vol. 6, pp. 593 - 596, Dec 1996.
Department(s)
Mechanical and Aerospace Engineering
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 The Authors, All rights reserved.
Publication Date
01 Dec 1996