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
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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
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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
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