Mr Damper Isolation Control Research

In recent years,the research on structural vibration control has developed considerably.The semi-active control combines the advantages of the active control and passive control, it has the same reliability as the passive control,and the strong adaptability as the active control through certain algorithms.The device of semi-active control system is simple and needing little energy in the system, one of the best device is magneto-rheological damper,which can take the initiate to adjust its own parameters according to effect of the structure vibration,so that the vibration control of MR can work good.This article mainly studies damper model parameter identification problems and the isolated effects of base isolated buildings set MR damper at the isolation layer. The text can be divided into three parts::First, we introduce the working principle of magnetroheological fuid and magnetroheological fuild damper.Then we introduce four types of MR damper dynamic and analy the advantages and disadvantages of these models,we choose the Bouc-Wen model as the our researching object.Secondly, we use genetic algorithm and simulated annealing algorithm to identify and optimize the unknowed parameters of the dynamaic model of the damper basing on the experimental data.After comparating the results we integrate the merits of two optimization algorithms and obtain a new optimization algorithm-properties with anealing genetic algorithm and verify its effectiveness finally.Thirdly,a 3-layer isolated structure with a MR damper setting at the isolated layer is our researching object.We do a simulation analysis using SIMULINK toolbox in the MATLAB software,we prove the basis of MR intelligent isolation system is better than passive isolation device and it can further reduce the structural seismic response and is a safe and practical isolation device. Fuzzy intelligent control method can effectively control the MR isolation system, its effectiveness is better than the effect of passive isolation. The simulation analysis also confirmed the proposed simulation algorithm and fuzzy intelligent control method.