Revista UIS Ingenierías

Vol. 16 No. 2 (2017): UIS Engineering Journal
Articles

Structural control strategies based on magnetorheological dampers managed using artificial neural networks and fuzzy logic

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  • Luis Lara,
  • José Brito,
  • Carlos Alberto Graciano Gallego
Luis Lara
University of Brasília, Brazil
José Brito
Universidad Nacional de Colombia
Carlos Alberto Graciano Gallego
Universidad Nacional de Colombia Facultad de Minas - Sede Medellín Departamento de Ingeniería Civil
DOI: https://doi.org/10.18273/revuin.v16n2-2017021

Published 2017-05-15

Keywords

  • Control of structures,
  • vibration reduction,
  • magnetorheological dampers,
  • artificial neuronal networks,
  • fuzzy logic

How to Cite

Lara, L., Brito, J., & Graciano Gallego, C. A. (2017). Structural control strategies based on magnetorheological dampers managed using artificial neural networks and fuzzy logic. Revista UIS Ingenierías, 16(2), 227–242. https://doi.org/10.18273/revuin.v16n2-2017021
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Abstract

This paper presents a numerical assessment on the performance of two structural control strategies based on magnetorheological (MR) dampers.  At first, a control strategy based on artificial neural networks was employed on a simple structure to control vibration.  This controller combines a predictive model function to control forces and an inverse model of voltage calculation to manage the MR dampers. Secondly, a control strategy based on fuzzy logic was also used. Therefore, the controller governs the actions from a set of rules that represent the heuristics of the system to be controlled.  Results achieved from the numerical simulations indicate that the performance of these two control strategies is prmiosing and satisfactory, based on response reductions of up to 83% relative to the performance of the system without control.

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