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

• Autor(es): Braz-César, Manuel ; Oliveira, Kellie ; Barros, Rui
• Data: 2015
• Identificador Persistente: http://hdl.handle.net/10198/17502
• Origem: Biblioteca Digital do IPB
• Assunto(s): Structural control; Semi-active control; Neuro-fuzzy; MR dampers
• Tipo de Documento: Objeto de conferência
• Idioma: Inglês
• Contribuidor(es): Biblioteca Digital do IPB

Descrição

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.