在一个多维系统中,简单支光束的混乱控制
Ming Liu1, Haoran Xun1, Liping Wu2
1School of Environment and Safety Engineering, Liaoning Petrochemical University, Fushun, 113001, China.
Scientific reports
|November 4, 2024
概括
本研究介绍了一种模糊滑动模式控制 (FSMC) 策略,用于管理非线性光束中的混乱振动. 循环神经网络 (RNN) 准确地预测和抑制多维系统中的混乱运动.
科学领域:
- 非线性动力学是一种非线性动力学.
- 振动分析 振动分析
- 控制理论 控制理论
背景情况:
- 非线性结构中的混乱振动对精确的动态估计和控制构成重大挑战.
- 受到外部负荷的简单支梁可以表现出复杂的,大幅度的混乱反应.
研究的目的:
- 开发和应用有效的控制策略来管理非线性光束中的混乱振动.
- 为了比较梁结构的单维与多维模型的动态行为.
- 利用循环神经网络 (RNN) 来预测和抑制混乱的运动.
主要方法:
- 使用汉密尔顿原理对非线性束结构的运动方程的推导.
- 应用第3次Galerkin离散式来获得管理的普通微分方程.
- 实施模糊滑动模式控制 (FSMC) 策略,以减轻混乱反应.
- 利用循环神经网络 (RNN) 模型进行混乱运动预测和控制.
主要成果:
- 多维非线性系统模型对于精确的动态估计光束的行为是必不可少的.
- FSMC战略有效地减少了多维系统中混乱的振动响应.
- RNN模型在预测混乱运动方面表现出高准确性,使有效的控制策略能够得到应用.
结论:
- 这项研究证实了考虑多维非线性系统动态的必要性,以便进行精确的分析.
- 由RNN增强的拟议的FSMC战略是控制梁结构混乱的可行和有效方法.
- 这项研究为复杂机械系统的先进振动控制技术做出了贡献.
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