14th world conference on earthquake engineering , 2008-10-12

Title : ( Semi-active Control of Structures Using Neuro-Predictive Algorithm for MR Dampers )

Authors: , Hassan Haji Kazemi , Mohammad Reza Akbarzadeh Totonchi ,

Citation: BibTeX | EndNote

A semi-active control method for a seismically excited nonlinear benchmark building equipped with a magnetorheological (MR) damper is presented and evaluated. A Linear Quadratic Gaussian (LQG) controller is designed to produce the optimal control force. The required voltage for the MR damper to produce the control force estimated by LQG controller is calculated by a neural network predictive control algorithm (NNPC). The LQG controller and the NNPC are linked to control the structure. The coupled LQG and NNPC system are then used to train a semi-active neuro-controller designated as SANC, which produces the necessary control voltage that actuates the MR damper. The effectiveness of the NNPC and SANC is illustrated and verified using simulated response of a 3-story full-scale, nonlinear, seismically excited, benchmark building excited by several historical earthquake records. The semi-active system using the NNPC algorithm is compared to the performance of passive as well as an active and a clipped optimal control (COC) system, which are based on the same nominal controller as is used in the NNPC algorithm. The results demonstrate that the SANC algorithm is quite effective in seismic response reduction for wide range of motions from moderate to severe seismic events, compared to the passive systems, and performs better than active and COC systems.

Keywords

, structural Control; Predictive Control; Semi-active; Neural Network; Nonlinear, MR
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@inproceedings{paperid:1012588,
author = {, and Haji Kazemi, Hassan and Akbarzadeh Totonchi, Mohammad Reza},
title = {Semi-active Control of Structures Using Neuro-Predictive Algorithm for MR Dampers},
booktitle = {14th world conference on earthquake engineering},
year = {2008},
location = {Beiging},
keywords = {structural Control; Predictive Control; Semi-active; Neural Network; Nonlinear; MR Damper},
}

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%0 Conference Proceedings
%T Semi-active Control of Structures Using Neuro-Predictive Algorithm for MR Dampers
%A ,
%A Haji Kazemi, Hassan
%A Akbarzadeh Totonchi, Mohammad Reza
%J 14th world conference on earthquake engineering
%D 2008

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