ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampers

ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampers

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 e...

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Main Authors: César Manuel Braz, Barros Rui Carneiro
Format: Article
Language:English
Published: De Gruyter 2016-11-01
Series:Open Engineering
Subjects:
Fuzzy logic
MR damper
Semi-active control
Online Access:http://www.degruyter.com/view/j/eng.2016.6.issue-1/eng-2016-0075/eng-2016-0075.xml?format=INT
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spelling doaj-e6bd863d6894443c8fd4772de57e9d1c2020-11-25T00:02:18ZengDe GruyterOpen Engineering2391-54392016-11-016110.1515/eng-2016-0075eng-2016-0075ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampersCésar Manuel Braz0Barros Rui Carneiro1Department of Applied Mechanics, Polytechnic Institute of Bragança and LESE - Laboratory for Earthquake and Structural Engineering, Faculty of Engineering of the University of Porto, Department of Civil Engineering, Porto, PortugalDepartment of Civil Engineering, Faculty of Engineering of the University of Porto and LESE - Laboratory for Earthquake and Structural Engineering, Porto, PortugalIn 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.http://www.degruyter.com/view/j/eng.2016.6.issue-1/eng-2016-0075/eng-2016-0075.xml?format=INTFuzzy logic MR damper Semi-active control
collection DOAJ
language English
format Article
sources DOAJ
author César Manuel Braz
Barros Rui Carneiro
spellingShingle César Manuel Braz
Barros Rui Carneiro
ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampers
Open Engineering
Fuzzy logic
MR damper
Semi-active control
author_facet César Manuel Braz
Barros Rui Carneiro
author_sort César Manuel Braz
title ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampers
title_short ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampers
title_full ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampers
title_fullStr ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampers
title_full_unstemmed ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampers
title_sort anfis optimized semi-active fuzzy logic controller for magnetorheological dampers
publisher De Gruyter
series Open Engineering
issn 2391-5439
publishDate 2016-11-01
description 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.
topic Fuzzy logic
MR damper
Semi-active control
url http://www.degruyter.com/view/j/eng.2016.6.issue-1/eng-2016-0075/eng-2016-0075.xml?format=INT
work_keys_str_mv AT cesarmanuelbraz anfisoptimizedsemiactivefuzzylogiccontrollerformagnetorheologicaldampers
AT barrosruicarneiro anfisoptimizedsemiactivefuzzylogiccontrollerformagnetorheologicaldampers
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