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Intelligent Vibration Control System with Actuators using MR Fluid

带有使用 MR 流体的执行器的智能振动控制系统

基本信息

批准号：
12450096
负责人：
MORISHITA Shin
金额：
$ 7.87万
依托单位：
Yokohama National University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
2000
资助国家：
日本
起止时间：
2000 至 2002
项目状态：
已结题

项目摘要

This project is on an intelligent vibration control system with actuators using MR fluid. MR fluid is known as a class of functional fluids whose rheological properties can be controlled by the applied magnetic field strength. By applying MR fluid to some conventional damper, semi-active dampers may be realized, and their damping properties can be controlled by an external applied signal. MR fluid is generally composed of ferromagnetic, micron-sized particles suspended in liquid such as mineral oil or silicone oil, and the particles are dispersed uniformly in the liquid by strong surface active agent without magnetic field. Under magnetic field, the particles aggregate and form chain-like cluster structures. When some shear deformation is applied to MR fluid, the clusters may scrub or brush the opposite surface and friction force may be produced, which show Bingham plastic behavior of the fluid. The friction force strongly depends on the strength of magnetic flux density, and it is very important to make closed loop magnetic circuit.In the present project, the equivalent magnetic permiability of MR fluid was first estimated in order to predict MR effect of the semi-active actuators .The cluster formation under a magnetic field is simulated by Cellular Automata, which is known as a discrete modeling technique. Considerting the simulated particle structures, magnetic analysis was carried out by FEM code and equivalent permiability was estimated. Based on the results obtained above, a variable damper was constructed and set on a structural model. The MR damper was controlled by an intelligent control system composed of neural network. It was shown experimentally that an intelligent vibration control system was realized by the conbination of MR fluid and neural network control system.

本计画系关于一种以磁流变液为驱动器之智能振动控制系统。磁流变液是一类流变性能可以通过外加磁场强度控制的功能流体。将磁流变液应用于常规阻尼器中，可以实现半主动阻尼器，其阻尼特性可以通过外加信号来控制。磁流变液一般由铁磁性的、微米级的颗粒悬浮在矿物油或硅油等液体中组成，在没有磁场的情况下，通过强表面活性剂使颗粒均匀分散在液体中。在磁场作用下，颗粒聚集并形成链状团簇结构。当磁流变液受到剪切变形时，磁流变液中的团簇会摩擦或擦过相对表面，产生摩擦力，表现出磁流变液的宾汉塑性行为。本文首先估算了磁流变液的等效磁导率，并利用元胞自动机（Cellular Automata）离散建模技术模拟了磁流变液在磁场作用下的团簇形成过程。考虑到模拟的颗粒结构，用有限元程序进行了磁性分析，估算了等效磁导率。在此基础上，构造了变阻尼器，并将其设置在结构模型上。采用神经网络智能控制系统对磁流变阻尼器进行控制。实验表明，磁流变液与神经网络控制系统相结合，可实现智能振动控制系统。