考虑时滞效应的模糊主动隔振系统的设计与性能  

The Design and Performance of a Fuzzy Active Vibration Isolation System Considering Time-delay Effect

作　　者：郑文杰 盛鹰 贾彬[1,2] 严熙川 杨振超 李宁 ZHENG Wenjie;SHENG Ying;JIA Bin;YAN Xichuan;YANG Zhenchao;LI Ning(School of Civil Engineering and Architecture,Southwest University of Science and Technology,Mianyang 621010,Sichuan,China;Shock and Vibration of Engineering Materials and Structures Key Laboratory of Sichuan Province,Southwest University of Science and Technology,Mianyang 621010,Sichuan,China)

机构地区：[1]西南科技大学土木工程与建筑学院,四川绵阳621010 [2]西南科技大学工程材料与结构冲击振动四川省重点实验室,四川绵阳621010

出　　处：《西南科技大学学报》2024年第3期63-70,共8页Journal of Southwest University of Science and Technology

基　　金：国家自然科学基金面上项目(52278536);四川省自然科学基金面上项目(2024NSFSC0428)。

摘　　要：为了更好地实现精密仪器的振动控制,提出基于考虑时滞效应的模糊主动控制隔振系统。该系统采用神经网络,根据当前时刻模糊控制器的输出以及平台的输出数据,实时预测下一时刻平台的运动状态,提前施加作动力对平台进行主动控制。仿真实验表明,神经网络的预测较为准确,可靠度较高且设计方案合理,能有效预测实时信号并且抑制信号的振荡。系统融合了神经网络对时滞效应的补偿作用和模糊控制器对不确定性的处理能力,可实现精密仪器振动的智能化控制。To achieve better vibration control of precision instruments,a fuzzy active vibration isolation system that considers time-delay effect is proposed.This system employs neural networks to predict the platform’s motion state in real time at the next moment based on the current output of the fuzzy controller and the platform’s output data.This allows for the application of control forces in advance to actively manage the platform’s motion.Simulation experiments demonstrate that the neural network’s predictions are accurate,reliable,and supported by a well-designed system that effectively predicts real-time signals and suppresses signal oscillations.The system integrates the compensatory effects of neural networks for time delay and the capability of fuzzy controllers to handle uncertainties,enabling intelligent vibration control of precision instruments.

关 键 词：主动控制隔振系统 时滞效应 神经网络 模糊控制器 精密仪器 

分 类 号：O328[理学—一般力学与力学基础]