A Metaheuristic-based Fuzzy Controller for Semi-active Control of Magnetorheological Dampers

Mohammad Dashti Javan,Mohammad Bagher Menhaj,Seyed Ehsan Aghakouchaki Hosseini

doi:10.19026/rjaset.17.6046

Abstract

Aim of this study is to propose a control strategy based on Simulated Annealing (SA) as a metaheuristic algorithm and Fuzzy Logic Controller (FLC) for semi-active nonlinear control of structures equipped with Magnetorheological (MR) dampers to prevent damage from severe dynamic loads such as earthquakes. MR dampers as promising semi-active control mechanisms are focus of attention for reducing seismic response of structures in the world of structural engineering. A fuzzy controller is applied to establish interactive relationships between structural responses and input voltages to the MR damper. A modified simulated annealing algorithm is employed as an evolutionary algorithm to design the fuzzy controller, which is herein described as a Modified Simulated Annealing-Fuzzy Logic Controller (MSA-FLC). Results of numerical simulations demonstrated the efficiency of the proposed smart strategy compared to similar methodologies recommended by other researchers.

Highlights

Mitigating damage induced by severe dynamic loads, such as earthquake and strong wind is the central issue in structural engineering
Various semi-active control algorithms have been proposed for use with the MR dampers in which, first, a conventional optimal control algorithm such as LQR/LQG (Dyke et al, 1996) is employed to calculate the ideal target force which is regarded as an active control force, using selected structural responses and through an active to semi-active converter (ASAC) unit, the desired control force produced by the controller is converted to a desired control force from an MR damper (Schurter and Roschke, 2000)
This study aims to optimize data base of fuzzy controller using Modified Simulated Annealing (MSA) algorithm to control seismic-induced vibrations of structures equipped with MR dampers

Summary

Introduction

Mitigating damage induced by severe dynamic loads, such as earthquake and strong wind is the central issue in structural engineering. Semi-active control devices which offer the best features of both passive and active control systems including reliability, versatility and adaptability, have attracted considerable attention in recent years One of such innovative and most promising semi-active control devices is the Magneto-Rheological (MR) damper which employs MR fluids to provide control capability. Zhou et al (2012) focused on the vibration control of longspan reticulated steel structures under multidimensional earthquake excitation They adopted the LQR and Hrovat controlling algorithm to determine optimal MR damping force, while the Modified Bingham Model (MBM) and Inverse Neural Network (INN) were proposed to solve the real-time controlling current.

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