Fuzzy vibration control of intelligent structures with MR dampers

摘要：

The magnetorheological(MR)damper is a promising semi-active device for vibration control systems in that MR fluids can provide controllable damping force.It is a critical task how to adjust controllable damping force by updating the command current of MR dampers,which decides the control effective of systems with MR dampers.This paper proposes a fuzzy control strategy based on a neural network forecasting model(NNFM)for structures with MR dampers.A NNFM is developed to predict system dynamic response,and a fuzzy controller is then designed to determine the command current of MR dampers.A fivefloor steel structure with MR dampers using the proposed control strategy is modeled and simulated by using Simulink.Simulation results are compared with those of the bi-state control system and the uncontrolled system.Analysis results demonstrate that the fuzzy control strategy is an effective control method for systems with MR damper.

关键词： Magnetorheological(MR) dampers neural network forecasting model (NNFM) fuzzy control

作者: Y.Q. Guo S.M. Fei Z.D. Xu

作者单位: School of Automation,Southeast University,Nanjing,Jiangsu Province,China College of Civil Engineering,Southeast University,Nanjing,Jiangsu Province,China

会议类型: 国际会议

会议名称: The World Forum on Smart Materials and Smart Structures Technology(SMSST07)(2007年世界智能材料与智能结构技术论坛)

会议地点: 重庆·南京

会议语种:英文

在线出版日期: 2007-05-01（万方平台首次上网日期，不代表论文的发表时间）