Design of experiments for MR damper modelling

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

Research output: Contribution to conferencePaper

11 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. © 2009 IEEE.
Original languageEnglish
Pages1915-1922
Number of pages8
DOIs
Publication statusPublished - 18 Nov 2009
Externally publishedYes
EventProceedings of the International Joint Conference on Neural Networks -
Duration: 18 Nov 2009 → …

Conference

ConferenceProceedings of the International Joint Conference on Neural Networks
Period18/11/09 → …

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    Lozoya-Santos, J., Morales-Menendez, R., & Ramirez-Mendoza, R. (2009). Design of experiments for MR damper modelling. 1915-1922. Paper presented at Proceedings of the International Joint Conference on Neural Networks, . https://doi.org/10.1109/IJCNN.2009.5179003