Intelligent Vibration Control of Structures with MR Dampers Based on Predicted Model
The magnetorheological (MR) damper is a promising semi-active device for the vibration mitigation of buildings. This paper proposes a fuzzy control strategy based on a predicted model for structures with MR dampers. The predicted model, realized by a neural network model, can predict system dynamic responses including displacement and velocity responses. And a fuzzy controller is then designed to determine the control current of MR dampers based on the predicted model. A five-floor steel structure with MR dampers using the proposed control strategy is modeled and simulated by using Simulink. Simulation results are compare, d with those of the passive-on control system, the passive-off control system and the uncontrolled system. Analysis results demonstrate that the fuzzy control strategy is an effective control method for systems with MR damper.
Magnetorheological (MR) dampers Intelligent vibration controlL Neural network Fuzzy control
Zhaodong Xu Yingqing Guo
School of Civil Engineering, Southeast University, Nanjing, China School of Automation, Southeast University, Nanjing, China
国际会议
南京
英文
202-210
2007-10-16（万方平台首次上网日期，不代表论文的发表时间）