ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampers

• Type: Article in International Scientific Journal
• Date: 2016

Authors

Cesar, MB (Author) Other; Rui Carneiro de Barros (Author) FEUP

Journal

Title: Open Engineering

Vol. 6

Pages: 518-523

Publisher: Walter De Gruyter

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 0 Citations

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6