华南理工大学学报(自然科学版)

• 机械工程 • 上一篇    下一篇

基于模糊算法的三柔性梁耦合系统振动控制

邱志成  李猛  李旻   

  1. 华南理工大学 机械与汽车工程学院,广东 广州 510640

  • 发布日期:2025-05-26

Vibration Control of Three-Flexible Beam Coupling System Based on Fuzzy Algorithm

QIU Zhicheng   LI Meng   LI Min   

  1. School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510640, Guangdong, China

  • Published:2025-05-26

摘要:

在航空航天领域,刚柔耦合结构凭借其高结构效率被广泛应用,但刚柔耦合效应的存在给振动主动控制带来巨大挑战。为解决这一难题,本文以为研究对象,开展振动主动控制研究。在研究方法上,首先搭建了三柔性梁耦合系统振动测控平台,利用压电传感器与驱动器实现振动信号的检测与抑制,在此基础上进行振动测量与控制算法设计。随后通过有限元方法结合哈密顿变分原理建立了系统动力学模型,在仿真环境下确定了系统自由振动主要模态振型,引入模态坐标后采用模态截断法获取系统状态空间方程。同时针对模型参数不确定性,运用小波分析和跳蛛优化算法对系统状态空间方程参数进行了精确辨识。此外,考虑到系统存在非线性和参数不确定性,设计了基于高斯隶属函数的模糊逻辑控制器,用于抑制柔性梁振动。仿真和实验结果表明,在相同控制饱和电压周期内,模糊逻辑控制器在抑制耦合三柔性梁振动时比大增益PD(Proportional and Derivative)控制表现更优,在大幅值振动快速抑制的同时,它能以更快的速度抑制小幅值振动,有效缩短系统达到稳定状态的时间,显著提升了振动控制效果。综上所述,本文设计的基于高斯隶属函数的模糊逻辑控制器,克服了刚柔耦合结构振动控制中非线性和参数不确定性的难题,相比传统大增益PD控制展现出更强的适应性和更高的控制效率。

关键词: 耦合三柔性梁系统, 振动主动控制, 模糊逻辑控制器, 跳蛛优化算法

Abstract:

In the aerospace field, rigid-flexible coupling structures are widely used due to their high structural efficiency. However, the existence of the rigid-flexible coupling effect brings huge challenges to active vibration control. To solve this difficult problem, this paper conducts research on active vibration control as the research object. In terms of research methods, a vibration measurement and control platform for the three-flexible beam coupling system was first established. The detection and suppression of vibration signals were achieved by using piezoelectric sensors and drivers. On this basis, the design of vibration measurement and control algorithms was carried out. Subsequently, the system dynamics model was established by combining the finite element method with the Hamiltonian variational principle. The main modal shapes of the free vibration of the system were determined in the simulation environment. After introducing the modal coordinates, the modal truncation method was adopted to obtain the state space equation of the system. Meanwhile, in view of the uncertainty of model parameters, wavelet analysis and jumping spider optimization algorithm were used to accurately identify the parameters of the system state space equation. Furthermore, considering the nonlinearity and parameter uncertainty of the system, a fuzzy logic controller based on Gaussian membership function was designed to suppress the vibration of the flexible beam. The simulation and experimental results show that within the same control saturation voltage period, the fuzzy logic controller performs better than the large gain PD(Proportional and Derivative) control in suppressing the vibration of the coupled three-flexible beam. While rapidly suppressing large-value vibrations, it can suppress small-value vibrations at a faster speed. It effectively shortens the time for the system to reach a stable state and significantly improves the vibration control effect. To sum up, the fuzzy logic controller based on Gaussian membership function designed in this paper overcomes the problems of nonlinearity and parameter uncertainty in the vibration control of rigid-flexible coupling structures. Compared with the traditional high-gain PD control, it shows stronger adaptability and higher control efficiency.

Key words: coupled three flexible beam system, active vibration control, fuzzy logic controller, jumping spider optimization algorithm