Semi-active control of building structures using a neuro-fuzzy controller with acceleration feedback
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...
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| Outros Autores: | , |
| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
2018
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10198/17502 |
| País: | Portugal |
| Oai: | oai:bibliotecadigital.ipb.pt:10198/17502 |
| Resumo: | 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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