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Advisor(s)
Abstract(s)
This paper describes the application of a Brain Emotional Learning
(BEL) controller to improve the response of a SDOF structural system under an
earthquake excitation using a magnetorheological (MR) damper. The main goal is
to study the performance of a BEL based semi-active control system to generate the
control signal for a MR damper. The proposed approach consists of a two controllers:
a primary controller based on a BEL algorithm that determines the desired
damping force from the system response and a secondary controller that modifies
the input current to the MR damper to generate a reference damping force.
A parametric model of the damper is used to predict the damping force based on the
piston motion and also the current input. A Simulink model of the structural system
is developed to analyze the effectiveness of the semi-active controller. Finally, the
numerical results are presented and discussed.
Description
Keywords
Semi-active control Brain emotional learning MR damper
Citation
Braz-César, M.T.; Gonçalves, José;Ribeiro, J.P.; Barros, Rui Carneiro de (2015). Brain emotional learning based control of a SDOF structural system with a MR damper. In Proceedings of the 12th Portuguese Conference on Automatic Control. Guimarães. p. 548-593. ISBN 978-3-319-43670-8
Publisher
Springer Publishing Company