A modified shuffled frog-leaping algorithm-based fuzzy controller for magnetorheological damper-building system

摘要

Magnetorheological (MR) dampers are prominent semi-active control devices for vibration mitigation of structures which undergo severe loads such as earthquakes or strong winds. However, because of their inherent non-linear characteristics, development of control strategies that can fully exploit the capabilities of MR dampers is an important and challenging task. In this study, an intelligent control strategy integrating fuzzy logic controller and Modified Shuffled Frog-Leaping Algorithm (MSFLA) is proposed to reduce seismic responses of structures installed with MR dampers. The MSFLA is used to adaptively optimise the FLC parameters including Membership Function (MF) parameters, fuzzy rules and input scaling gains. The MSFLA-optimised FLC is employed to establish optimal relationship between seismic responses and command voltages of MR dampers. Simulation results verify that the proposed controller outperforms clipped-optimal control and fuzzy control methods. Also, the proposed controller can deal with changes in structural parameters and earthquake excitations.