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Characterization of Smart Fluid Dampers Using Restoring Force Surface Method Based on Acceleration Feedback

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F15%3A00240576" target="_blank" >RIV/68407700:21220/15:00240576 - isvavai.cz</a>

  • Výsledek na webu

    <a href="http://dx.doi.org/10.15224/978-1-63248-054-5-60" target="_blank" >http://dx.doi.org/10.15224/978-1-63248-054-5-60</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.15224/978-1-63248-054-5-60" target="_blank" >10.15224/978-1-63248-054-5-60</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Characterization of Smart Fluid Dampers Using Restoring Force Surface Method Based on Acceleration Feedback

  • Popis výsledku v původním jazyce

    The restoring force surface (RFS) method of nonlinear system characterization requires the simultaneous input of displacement, velocity and acceleration signals. A practical technique requires that only one of these quantities can be measured and estimate the others by numerical integration and/or differentiation. Up to now, the prediction of the damper force using RFS has been done before based on displacement and velocity measurements but these two input signals require expensive hardware equipment. The magnetorheological (MR) damper is one of the most famous smart fluid industrial applications because it has many advantages such as mechanical simplicity, high dynamic range, low power requirements, large force capacity and robustness. This paper introduces a precise selection of data input to the restoring force surface to predict the damping force of MR dampers. An RFS method for predicting the MR damper force based on acceleration feedback is investigated due to the advantages of the accelerometers. It consists of a two dimensional interpolation using Chebyshev orthogonal polynomial functions to identify the damping force as a function of the velocity, acceleration and input voltage. The identification and its validation are done based on simulated data generated by a theoretical model of an MR damper. Validation data sets representing a wide range of operating conditions of the MR damper show that the usage of RFS to predict the damping force for known velocity and acceleration is reasonably accurate compared to the prediction based on displacement and velocity.

  • Název v anglickém jazyce

    Characterization of Smart Fluid Dampers Using Restoring Force Surface Method Based on Acceleration Feedback

  • Popis výsledku anglicky

    The restoring force surface (RFS) method of nonlinear system characterization requires the simultaneous input of displacement, velocity and acceleration signals. A practical technique requires that only one of these quantities can be measured and estimate the others by numerical integration and/or differentiation. Up to now, the prediction of the damper force using RFS has been done before based on displacement and velocity measurements but these two input signals require expensive hardware equipment. The magnetorheological (MR) damper is one of the most famous smart fluid industrial applications because it has many advantages such as mechanical simplicity, high dynamic range, low power requirements, large force capacity and robustness. This paper introduces a precise selection of data input to the restoring force surface to predict the damping force of MR dampers. An RFS method for predicting the MR damper force based on acceleration feedback is investigated due to the advantages of the accelerometers. It consists of a two dimensional interpolation using Chebyshev orthogonal polynomial functions to identify the damping force as a function of the velocity, acceleration and input voltage. The identification and its validation are done based on simulated data generated by a theoretical model of an MR damper. Validation data sets representing a wide range of operating conditions of the MR damper show that the usage of RFS to predict the damping force for known velocity and acceleration is reasonably accurate compared to the prediction based on displacement and velocity.

Klasifikace

  • Druh

    D - Stať ve sborníku

  • CEP obor

    JT - Pohon, motory a paliva

  • OECD FORD obor

Návaznosti výsledku

  • Projekt

    Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

  • Návaznosti

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Ostatní

  • Rok uplatnění

    2015

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název statě ve sborníku

    SMART 2015 - Book of Abstracts SMART2015 7th ECCOMAS Thematic Conference on Smart Structures and Materials

  • ISBN

    978-989-96276-7-3

  • ISSN

  • e-ISSN

  • Počet stran výsledku

    14

  • Strana od-do

    -1

  • Název nakladatele

    Instituto Superior Técnico, Technical University of Lisbon, National Civil Engineering Laboratory

  • Místo vydání

    Lisbon

  • Místo konání akce

    Ponta Delgada

  • Datum konání akce

    3. 6. 2015

  • Typ akce podle státní příslušnosti

    WRD - Celosvětová akce

  • Kód UT WoS článku