ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampers

• Tipo: Artigo em Revista Científica Internacional
• Data: 2016

Autores

Cesar, MB (Autor) Outra; Rui Carneiro de Barros (Autor) FEUP

Revista

Título: Open Engineering

Vol. 6

Páginas: 518-523

Editora: Walter De Gruyter

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-00M-88H

DOI: 10.1515/eng-2016-0075

Abstract (EN): In this paper, we report on the development of a neuro-fuzzy controller for magnetorheological dampers using an Adaptive Neuro-Fuzzy Inference System or ANFIS. Fuzzy logic based controllers are capable to deal with non-linear or uncertain systems, which make them particularly well suited for civil engineering applications. The main objective is to develop a semi-active control system with a MR damper to reduce the response of a three degrees-of-freedom (DOFs) building structure. The control system is designed using ANFIS to optimize the fuzzy inference rule of a simple fuzzy logic controller. The results show that the proposed semi-active neuro-fuzzy based controller is effective in reducing the response of structural system.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6