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Semi-active control of building structures using a neuro-fuzzy controller with acceleration feedback

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Abstract(s)

The present paper investigates the effectiveness of a neuro-fuzzy controller to reduce the response of building structures subjected to seismic excitations. The proposed controller was developed using an Adaptive Neuro-Fuzzy Inference System (ANFIS) to train a fuzzy logic system. In this case, floor acceleration measurements are used to compute the desired control signal to command a MR damper. A numerical example involving a three degrees of freedom building structure excited by the El Centro earthquake is presented to demonstrate the effectiveness of the proposed semi-active control system in reducing the response under seismic loading. A comparison between uncontrolled and controlled structural responses are used to validate the performance and efficiency of the proposed semi-active controller.

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Structural control Semi-active control Neuro-fuzzy MR dampers

Citation

Braz-César, M.T.; Oliveira, Kellie; Barros, Rui (2015). Semi-active control of building structures using a neuro-fuzzy controller with acceleration feedback. In 6th International Conference on Mechanics and Materials in Design. Azores, Portugal. p. 1177-1190. ISBN 978-989-98832-3-9

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