Design of experiments for MR damper modelling

Jorge Lozoya-Santos; Ruben Morales-Menendez; Ricardo Ramirez-Mendoza

doi:10.1109/IJCNN.2009.5179003

Design of experiments for MR damper modelling

Jorge Lozoya-Santos, Ruben Morales-Menendez, Ricardo Ramirez-Mendoza

Research output: Contribution to conference › Paper

13 Citations (Scopus)

Abstract

An approach to find out the training inputs for identification of a Magneto-Rheological (MR) damper is proposed. Reduction of overuse of the damper, number of experiments and configurations of training inputs are main features of this approach. Experimental validation with a commercial MR damper was carried out.Main results show inputs configuration with modulated frequency at fixed amplitude displacement, and random amplitude step with fixed period generate key information. A feed-forward neural network was selected as model emulator. Modelling results showed an error-to-signal ratio lower than milli-thousands.

Original language	English
Pages	1915-1922
Number of pages	8
DOIs	https://doi.org/10.1109/IJCNN.2009.5179003
Publication status	Published - 18 Nov 2009
Externally published	Yes
Event	Proceedings of the International Joint Conference on Neural Networks - Duration: 18 Nov 2009 → …

Conference

Conference	Proceedings of the International Joint Conference on Neural Networks
Period	18/11/09 → …

Bibliographical note

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Copyright 2012 Elsevier B.V., All rights reserved.

All Science Journal Classification (ASJC) codes

Software
Artificial Intelligence

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10.1109/IJCNN.2009.5179003

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=70449398344&origin=inward

Cite this

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Design of experiments for MR damper modelling

Abstract

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