Intelligent Control Research For Structures With Magnetorheological Dampers

Structural vibration control is a new technique domain that relate to many subjects,Structural vibration control can ease the reaction and the harm of structure availably under the dynamical functions such as breeze and earth-quake-etc, it raise the anti-vibration and anti-disaster ability of structure, it is a valid measure to reduce the disaste.In this paper the fuzzy contorl theory and neural network algorism are intorduced into structural contorl field.The following work is done:(1) Introduce mechanics characteristics of MR and the method of vibration control for structure with magnetorheo logical dampers.(2) It introduce the development and present condition of vibration control .Fuzzy control theories and ANFIS theories for structure vibration control is researched in this paper.(3) Based on the fuzzy control theory ,the MR dampers(magnetorheo logical dampers) are used as anactuator.The results verify that the fuzzy control algorism include the quick and simple control without requiring exact models.The control algorism can control the MR dampers to obtain the perfect control effect.(4) The model of numerical simulation of structure vibration control is constructed by a simulation tool in Matlab called simulink to takeplace time history analysis method.(5) The Adaptive Network-based Fuzzy Inference System(ANFIS) has the advantages of both neural networks and fuzzy control. The fuzzy capative of fuzzy control and the capitive of learn by itself of neural networks are used to improve control capative.A building structure with MR dampers is analyzed by this method as an example.The research results demonstrate that the present method can get better effectiveness than other method.It means that the proposed strategy can promote the efficiency of the MR dampers.ANFIS is a good method for structural vibration control..