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

Resultado de la investigación

4 Citas (Scopus)

Resumen

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.
Idioma originalEnglish
Páginas156-161
Número de páginas6
EstadoPublished - 1 dic 2009
Publicado de forma externa
EventoICINCO 2009 - 6th International Conference on Informatics in Control, Automation and Robotics, Proceedings -
Duración: 1 dic 2009 → …

Conference

ConferenceICINCO 2009 - 6th International Conference on Informatics in Control, Automation and Robotics, Proceedings
Período1/12/09 → …

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering

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