对于部分化复合材料梁的基因算法的活性振动控制和参数优化.
Zhicheng Huang1, Yang Cheng1, Xingguo Wang1
1College of Mechanical and Electronic Engineering, Jingdezhen Ceramic University, Jingdezhen 333001, China.
Biomimetics (Basel, Switzerland)
|October 25, 2024
概括
这项研究优化了使用有限元分析和先进算法对悬臂梁的主动受约束层阻尼 (ACLD). 该研究通过遗传算法和卡尔曼过器提高了振动控制的精度和有效性.
科学领域:
- 机械工程 机械工程
- 结构动力学 结构动力学
- 控制系统 控制系统
背景情况:
- 悬臂梁的振动控制对于结构完整性和性能至关重要.
- 主动受约束层缓冲 (ACLD) 提供了一种有前途的方法来减轻振动.
- 现有的动态模型需要改进,以实现有效的主动控制.
研究的目的:
- 使用ACLD开发粘弹性三明治梁的动态模型.
- 为了优化控制参数,以增强振动抑制.
- 研究ACLD配置和激发类型对系统动态的影响.
主要方法:
- 有限元素方法与Golla Hughes McTavish (GHM) 模型相结合用于动态建模.
- 汉密尔顿的原理来导出治理方程.
- 减少状态和物理空间,以实现主动控制兼容性.
- 卡尔曼波器和用于控制参数优化的遗传算法.
主要成果:
- 遗传算法有效地识别了最佳参数,改善了模型跟踪和主动控制精度.
- 卡尔曼波器在随机激发下有效降低了振动和噪声.
- 研究了ACLD覆盖和激发信号对光束振动的影响.
结论:
- 综合建模和优化方法显著提高了ACLD的性能.
- 该研究为梁的活跃振动控制提供了一个强大的框架.
- 优化的ACLD系统在抑制振动方面表现出更高的准确性和有效性.
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