部分阻尼复合材料梁的主动振动控制和遗传算法参数优化

IF 3.4 3区 医学 Q1 ENGINEERING, MULTIDISCIPLINARY
Zhicheng Huang, Yang Cheng, Xingguo Wang, Nanxing Wu
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引用次数: 0

摘要

本文以主动约束层阻尼(ACLD)悬臂梁的动态建模、主动振动控制和参数优化技术为主要研究内容。粘弹性夹层梁的动态模型是通过将有限元方法与 Golla Hughes McTavish(GHM)模型相结合而建立的。控制方程是根据汉密尔顿原理构建的。在对物理空间和状态空间进行联合缩减后,对模型进行修改以符合主动控制的要求。基于卡尔曼滤波器和遗传算法对控制参数进行了优化。研究了各种 ACLD 覆盖结构和激励信号对系统振动的影响。研究结果表明,遗传算法的优化迭代可以快速找到最佳解决方案,同时实现精确的模型跟踪,提高主动控制的有效性和精确性。卡尔曼滤波器能有效抑制振动和随机激励噪声对系统的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Active Vibration Control and Parameter Optimization of Genetic Algorithm for Partially Damped Composites Beams.

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.

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来源期刊
Biomimetics
Biomimetics Biochemistry, Genetics and Molecular Biology-Biotechnology
CiteScore
3.50
自引率
11.10%
发文量
189
审稿时长
11 weeks
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