Active Vibration Control and Parameter Optimization of Genetic Algorithm for Partially Damped Composites Beams

Autor: Zhicheng Huang, Yang Cheng, Xingguo Wang, Nanxing Wu
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Biomimetics, Vol 9, Iss 10, p 584 (2024)
Druh dokumentu: article
ISSN: 2313-7673
DOI: 10.3390/biomimetics9100584
Popis: The paper partially covered Active Constrained Layer Damping (ACLD) cantilever beams’ dynamic modeling, active vibration control, and parameter optimization techniques as the main topic of this research. The dynamic model of the viscoelastic sandwich beam is created by merging the finite element approach with the Golla Hughes McTavish (GHM) model. The governing equation is constructed based on Hamilton’s principle. After the joint reduction of physical space and state space, the model is modified to comply with the demands of active control. The control parameters are optimized based on the Kalman filter and genetic algorithm. The effect of various ACLD coverage architectures and excitation signals on the system’s vibration is investigated. According to the research, the genetic algorithm’s optimization iteration can quickly find the best solution while achieving accurate model tracking, increasing the effectiveness and precision of active control. The Kalman filter can effectively suppress the impact of vibration and noise exposure to random excitation on the system.
Databáze: Directory of Open Access Journals
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