An adaptable four-bar mechanism for data-based model validation

Oscar Castro, Axel Céspedes, Elvis J. Alegria

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

An adaptable four-bar mechanism is proposed in this paper to validate data-based modeling methods. The adaptability of the four-bar is reached by using a linear actuator into the crank. This actuator is a small mechanism based on a DC motor and an endless screw. This proposal is used to validate a specific data-based method, based on a non-temporal prediction, which considers that the model parameters have no physical meaning. This method has a better performance than the standard least square filter (RLS), as we experimentally show.

Original languageEnglish
Pages (from-to)119-127
Number of pages9
JournalMechanisms and Machine Science
Volume94
DOIs
StatePublished - 2021

Keywords

  • Adaptive link
  • Data-based modeling
  • Four-bar linkage

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