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

Zhicheng Huang, Yang Cheng, Xingguo Wang, Nanxing Wu

Abstract read

In one paragraph

Article in Biomimetics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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5 · Who and what money

Authors and funding

4 authors.

Zhicheng HuangCollege of Mechanical and Electronic Engineering, Jingdezhen Ceramic University, Jingdezhen 333001, China.ORCID 0000-0002-5597-9047

Yang ChengCollege of Mechanical and Electronic Engineering, Jingdezhen Ceramic University, Jingdezhen 333001, China.

Xingguo WangCollege of Mechanical and Electronic Engineering, Jingdezhen Ceramic University, Jingdezhen 333001, China.

Nanxing WuCollege of Mechanical and Electronic Engineering, Jingdezhen Ceramic University, Jingdezhen 333001, China.

Funding

National Natural Science Foundation of China (11862007，52265020)

6 · The paper itself

Abstract

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.

Indexed as

composites beamfinite element analysisgenetic algorithmKalman filterlinear–quadratic–Gaussian controlpiezoelectric actuatorvibration control

Identifiers

PMID39451790

DOI10.3390/biomimetics9100584

PMCPMC11504219

What OpenQuestion holds

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LicenceCC BY

Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.