Semi-Active Fuzzy Control of MR Damper on Structures by Genetic Algorithm

Abstract

The magnetorheological (MR) damper is a new device proposed for structural protection. It is filled with MR fluid that can be changed, when exposed to a magnetic field, regularly from free flowing liquid, linear viscous one to semi-solid. A phenomenological model based on the Bouc-Wen hysteresis model is adopted to predict both the force-displacement behavior and the complex nonlinear force-velocity response. The theory of fuzzy control is adopted here to determine the command voltage of MR dampers, but the applying of fuzzy control rules has always to deal with the classic problem of optimization. And due to the structural responses of analysis results, it can be confirmed that the reducing effects have an obviously improvement after an optimization by genetic algorithm.

Semi-active vibration control of building structure by Self Tuned Brain Emotional Learning Based Intelligent Controller

“…The ORB responsible for inhibiting improper amygdale responses. The mathematical structure of each processing unit of BELBIC can be defined concerning each DOF is explained as follows [48,57].…”

“…Moreover, the FIS typically replicates human knowledge and reasoning processes without requiring precise mathematical models. The FIS enables data complexity to be reduced and uncertainty to be dealt with in real-time [46][47][48]. These benefits of FIS make it appealing for use as BELBIC's online-tuning process.…”

Optimum Control System for Seismic and Aerodynamic Flutter Response of Cable-Stayed Bridge Using Magnetorheological Dampers

“…Such behaviour has been described by many mathematical models for use in random vibration analyses. One of the most popular is the Bouc-Wen hysteresis models [21].…”

“…and the parameters (c 1 ,c 0 , n, A, β, γ) of the model are illustrated in table 1 [21]. The parameters α, k 0 , k 1 vary nonlinearly with command voltages as follows, and z the displacement in z direction,…”

Semi-active seismic control of buildings using MR damper and adaptive neural-fuzzy intelligent controller optimized with genetic algorithm

“…Among other features of the method, one can refer to application of human knowledge, experience in designing controller, and the ability to make an adaptive control system. Huang et al. (2009) used a model according to the Bouc–Wen hysteresis model in order to control structure with a MR damper and predict both force–displacement behavior and complex nonlinear force–velocity response.…”