Currently dampers based on magnetorheological (MR) fluids are being used in many applications such as construction, biomechanical and semi-active suspension to improve their behaviour. The main advantage of MR dampers is its very low time response (≈ 10 ms). In many cases, it is necessary to establish a suitable model of MR damper which characterizes its behaviour so that this model can be used in the simulation stage. In this paper, a new non-parametric model is proposed based on neural networks using a recursive lazy learning to model the MR damper behaviour. The proposed method is validated by comparison with experimental obtained responses. Results show that the estimated model correlates very well with the data obtained experimentally and learns quickly.
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ASME 2008 9th Biennial Conference on Engineering Systems Design and Analysis
July 7–9, 2008
Haifa, Israel
Conference Sponsors:
- International
ISBN:
978-0-7918-4836-4
PROCEEDINGS PAPER
A New Non-Parametric Model Based on Neural Network for a MR Damper Available to Purchase
Mari´a Jesu´s L. Boada,
Mari´a Jesu´s L. Boada
Carlos III University, Madrid, Spain
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Jose´ Antonio Calvo,
Jose´ Antonio Calvo
Carlos III University, Madrid, Spain
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Beatriz L. Boada,
Beatriz L. Boada
Carlos III University, Madrid, Spain
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Vicente Di´az
Vicente Di´az
Carlos III University, Madrid, Spain
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Mari´a Jesu´s L. Boada
Carlos III University, Madrid, Spain
Jose´ Antonio Calvo
Carlos III University, Madrid, Spain
Beatriz L. Boada
Carlos III University, Madrid, Spain
Vicente Di´az
Carlos III University, Madrid, Spain
Paper No:
ESDA2008-59210, pp. 597-602; 6 pages
Published Online:
July 6, 2009
Citation
Boada, MJL, Calvo, JA, Boada, BL, & Di´az, V. "A New Non-Parametric Model Based on Neural Network for a MR Damper." Proceedings of the ASME 2008 9th Biennial Conference on Engineering Systems Design and Analysis. Volume 2: Automotive Systems; Bioengineering and Biomedical Technology; Computational Mechanics; Controls; Dynamical Systems. Haifa, Israel. July 7–9, 2008. pp. 597-602. ASME. https://doi.org/10.1115/ESDA2008-59210
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