Comparative analysis of semi-active control algorithms applied to magnetorheological dampers

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Main Author: Luis A. Lara V.
Format: Artículo científico
Language:en
Published: Universidad de Tarapacá 2017
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author Luis A. Lara V.
author_facet Luis A. Lara V.
contents Comparative analysis of semi-active control algorithms applied to magnetorheological dampers Luis A. Lara V. José L. V. Brito Yamile Valencia G. Ingeniería semi Structure dynamics control algorithms vibration reduction intelligent systems This paper analyzes the performance of three different semi-active control algorithms used to calculate and manage the optimal damping forces generated by a pair of magnetorheological (MR) dampers installed in a two-story building. The semi-active algorithms used are the linear quadratic regulator (LQR) associated with the clipped optimal algorithm, an algorithm based on a prediction model and a dynamic inverse model using nonlinear autoregressive exogenous (NARX)-type artificial neural networks, and a decision-making algorithm based on fuzzy logic. Additionally, the performances of the proposed semi-active algorithms are compared to those of passively used control devices. The results show response value reductions exceeding 50% for all the semi-active control strategies, which considerably outperformed the passive control. The three control strategies are thus confirmed as interesting tools with potential applications as MR damper administrators. 2017 artículo científico 0718-3291 https://www.redalyc.org/articulo.oa?id=77249637005 en http://www.redalyc.org/revista.oa?id=772 Ingeniare. Revista Chilena de Ingeniería application/pdf Universidad de Tarapacá Ingeniare. Revista Chilena de Ingeniería (Chile) Num.1 Vol.25
format Artículo científico
id redalyc_77249637005
institution Redalyc
language en
publishDate 2017
publisher Universidad de Tarapacá
spellingShingle Comparative analysis of semi-active control algorithms applied to magnetorheological dampers
Luis A. Lara V.
Ingeniería
semi
Structure dynamics
control algorithms
vibration reduction
intelligent systems
Comparative analysis of semi-active control algorithms applied to magnetorheological dampers Luis A. Lara V. José L. V. Brito Yamile Valencia G. Ingeniería semi Structure dynamics control algorithms vibration reduction intelligent systems This paper analyzes the performance of three different semi-active control algorithms used to calculate and manage the optimal damping forces generated by a pair of magnetorheological (MR) dampers installed in a two-story building. The semi-active algorithms used are the linear quadratic regulator (LQR) associated with the clipped optimal algorithm, an algorithm based on a prediction model and a dynamic inverse model using nonlinear autoregressive exogenous (NARX)-type artificial neural networks, and a decision-making algorithm based on fuzzy logic. Additionally, the performances of the proposed semi-active algorithms are compared to those of passively used control devices. The results show response value reductions exceeding 50% for all the semi-active control strategies, which considerably outperformed the passive control. The three control strategies are thus confirmed as interesting tools with potential applications as MR damper administrators. 2017 artículo científico 0718-3291 https://www.redalyc.org/articulo.oa?id=77249637005 en http://www.redalyc.org/revista.oa?id=772 Ingeniare. Revista Chilena de Ingeniería application/pdf Universidad de Tarapacá Ingeniare. Revista Chilena de Ingeniería (Chile) Num.1 Vol.25
title Comparative analysis of semi-active control algorithms applied to magnetorheological dampers
topic Ingeniería
semi
Structure dynamics
control algorithms
vibration reduction
intelligent systems
url https://www.redalyc.org/articulo.oa?id=77249637005