Building training patterns for modelling MR dampers

Jorge De J Lozoya-Santos; Javier A. Ruiz-Cabrera; Vicente Diaz-Salas; Ruben Morales-Menendez; Ricardo Ramirez-Mendoza

Building training patterns for modelling MR dampers

Jorge De J Lozoya-Santos, Javier A. Ruiz-Cabrera, Vicente Diaz-Salas, Ruben Morales-Menendez, Ricardo Ramirez-Mendoza

Research output: Contribution to conference › Paper

Abstract

A method for training patterns validation for modelling MR damper is proposed. The method was validated with two models based on black-box and semi-phenomenological approaches. An input pattern that allows a better identification of the MR damper model was found. Including a frequency modulated displacement and increased clock period in the training pattern, the MR damper model fitting is improved. Also, the designed input pattern minimizes of training phase and reduces of the number of experiments. Additionally, incorporation of the electric current in the MR models outperforms the modelling approach.

Original language	English
Pages	156-161
Number of pages	6
Publication status	Published - 1 Dec 2009
Externally published	Yes
Event	ICINCO 2009 - 6th International Conference on Informatics in Control, Automation and Robotics, Proceedings - Duration: 1 Dec 2009 → …

Conference

Conference	ICINCO 2009 - 6th International Conference on Informatics in Control, Automation and Robotics, Proceedings
Period	1/12/09 → …

Bibliographical note

Copyright:
Copyright 2010 Elsevier B.V., All rights reserved.

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Vision and Pattern Recognition
Control and Systems Engineering

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Cite this

Lozoya-Santos, J. D. J., Ruiz-Cabrera, J. A., Diaz-Salas, V., Morales-Menendez, R., & Ramirez-Mendoza, R. (2009). Building training patterns for modelling MR dampers. 156-161. Paper presented at ICINCO 2009 - 6th International Conference on Informatics in Control, Automation and Robotics, Proceedings. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=74549183521&origin=inward

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author = "Lozoya-Santos, {Jorge De J} and Ruiz-Cabrera, {Javier A.} and Vicente Diaz-Salas and Ruben Morales-Menendez and Ricardo Ramirez-Mendoza",

note = "Copyright: Copyright 2010 Elsevier B.V., All rights reserved.; ICINCO 2009 - 6th International Conference on Informatics in Control, Automation and Robotics, Proceedings ; Conference date: 01-12-2009",

year = "2009",

month = dec,

day = "1",

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Lozoya-Santos, JDJ, Ruiz-Cabrera, JA, Diaz-Salas, V, Morales-Menendez, R & Ramirez-Mendoza, R 2009, 'Building training patterns for modelling MR dampers', Paper presented at ICINCO 2009 - 6th International Conference on Informatics in Control, Automation and Robotics, Proceedings, 1/12/09 pp. 156-161. <https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=74549183521&origin=inward>

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T1 - Building training patterns for modelling MR dampers

AU - Lozoya-Santos, Jorge De J

AU - Ruiz-Cabrera, Javier A.

AU - Diaz-Salas, Vicente

AU - Morales-Menendez, Ruben

AU - Ramirez-Mendoza, Ricardo

PY - 2009/12/1

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N2 - A method for training patterns validation for modelling MR damper is proposed. The method was validated with two models based on black-box and semi-phenomenological approaches. An input pattern that allows a better identification of the MR damper model was found. Including a frequency modulated displacement and increased clock period in the training pattern, the MR damper model fitting is improved. Also, the designed input pattern minimizes of training phase and reduces of the number of experiments. Additionally, incorporation of the electric current in the MR models outperforms the modelling approach.

AB - A method for training patterns validation for modelling MR damper is proposed. The method was validated with two models based on black-box and semi-phenomenological approaches. An input pattern that allows a better identification of the MR damper model was found. Including a frequency modulated displacement and increased clock period in the training pattern, the MR damper model fitting is improved. Also, the designed input pattern minimizes of training phase and reduces of the number of experiments. Additionally, incorporation of the electric current in the MR models outperforms the modelling approach.

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M3 - Paper

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T2 - ICINCO 2009 - 6th International Conference on Informatics in Control, Automation and Robotics, Proceedings

Y2 - 1 December 2009

ER -

Building training patterns for modelling MR dampers

Abstract

Conference

Bibliographical note

All Science Journal Classification (ASJC) codes

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