H∞ 基于粒子群算法优化三元型动态振动吸收器与惰性和负硬度的优化
Ting Gao1, Jing Li1, Shaotao Zhu1,2
1Interdisciplinary Research Institute, Faculty of Science, Beijing University of Technology, Beijing 100124, China.
Entropy (Basel, Switzerland)
|July 29, 2023
概括
这项研究优化了动态振动吸收器 (DVA) 使用一个新的三元模型与一个惰性和负刚度弹. 将传统理论与粒子群优化 (PSO) 结合起来,与单独使用传统方法相比,显著提高了振动阻尼性能.
科学领域:
- 机械工程 机械工程
- 控制振动,控制振动.
- 优化算法 优化算法
背景情况:
- 动态振动吸收器 (DVA) 对于减轻结构和车辆中的振动至关重要.
- 优化DVA参数对于最大限度地提高它们的阻尼效率至关重要.
- 新的DVA设计采用惰性器和负度弹,可以提高性能.
研究的目的:
- 为了研究一个新的三元DVA模型的H∞优化问题.
- 将传统的固定点理论与粒子群优化 (PSO) 结合起来,用于DVA参数调整.
- 为了评估拟议的DVA模型的振动吸收效率.
主要方法:
- 使用固定点理论分析确定最佳调频率,刚度和减比.
- 应用粒子群优化 (PSO) 算法,同时优化四个DVA参数.
- 固定点理论,PSO及其结合方法的比较分析.
主要成果:
- 固定点理论提供了分析表达式和代范围的优化.
- 结合传统理论和PSO方法实现了近等的共振峰值,单独超过固定点理论.
- 拟议的DVA模型在和随机激发下显示出优异的振动吸收.
结论:
- 传统理论和智能算法 (PSO) 的整合提高了DVA的性能.
- 具有惰性和负刚性的新型三元DVA显示了显著的减振能力.
- 这项研究为设计工程中的先进DVA提供了宝贵的理论和算法支持.
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