ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampers
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Abstract 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.
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2016 ◽
Vol 17
(05)
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pp. 1740007
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2022 ◽
Vol 13
(1)
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pp. 0-0
2018 ◽
Vol 8
(5)
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pp. 3657
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2016 ◽
Vol 5
(1)
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pp. 27-42
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2018 ◽
Vol 7
(4)
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pp. 2410
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