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

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JT - Propulsion, engines and fuels

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

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

Publication year

2015

Confidentiality

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

Article name in the collection

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

ISBN

978-989-96276-7-3

ISSN

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e-ISSN

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Number of pages

14

Pages from-to

-1

Publisher name

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

Place of publication

Lisbon

Event location

Ponta Delgada

Event date

Jun 3, 2015

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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