Semi-active control of building structures using a neuro-fuzzy controller with acceleration feedback
Conference Paper
Overview
Research
Additional Document Info
View All
Overview
abstract
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.
