多维非线性动态系统的轴向移动串的混乱振动控制,采用改进的FSMC
Ming Liu1, Jiaole Lv1, Liping Wu2
1School of Environment and Safety Engineering, Liaoning Petrochemical University, Fushun, 113001, China.
Scientific reports
|November 3, 2024
概括
一种新的模糊滑动模式控制 (FSMC) 方法有效地抑制轴弦中的混乱振动. 这种方法使用神经网络进行准确的控制策略预测,证明了复杂的非线性系统的强有力的调节.
科学领域:
- 非线性动力学是一种非线性动力学.
- 控制理论 控制理论
- 机械振动 - 机械振动
背景情况:
- 轴向翻译的弦表现出复杂的非线性和混乱的振动.
- 了解和控制这些振动对于各种工程应用至关重要.
- 现有的控制方法可能无法充分解决多维混乱动态.
研究的目的:
- 为轴弦中的混乱振动提出一种新的主动控制策略.
- 开发一种可靠的方法来调节非线性动态系统.
- 验证拟议的控制方法在抑制混乱运动方面的有效性.
主要方法:
- 使用汉密尔顿原理和·卡尔曼方程,制定非线性运动方程.
- 通过第三阶加勒金方法将部分微分方程转换为非线性三维系统.
- 应用模糊滑动模式控制 (FSMC) 与循环神经网络模型相结合.
主要成果:
- FSMC方法成功地预测并应用了控制策略来抑制混乱的振动.
- 该研究证实了非线性多维动态系统的必要性,用于分析轴向翻译字符串.
- 拟议的控制策略在控制多维形式的混乱振动方面表现出有效性.
结论:
- 开发的FSMC方法为控制非线性轴弦系统中的混乱振动提供了有效的解决方案.
- 循环神经网络增强了对控制策略的预测和应用.
- 这些发现强调了复杂机械系统先进控制技术的重要性.
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