A Kalman Filter-Based Algorithm for Measuring the Parameters of Moving Objects

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24210%2F15%3A00002404" target="_blank" >RIV/46747885:24210/15:00002404 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/46747885:24620/15:00002404

Výsledek na webu

<a href="https://dspace.tul.cz/bitstream/handle/15240/13279/2-s2.0-84925876210.pdf?sequence=1" target="_blank" >https://dspace.tul.cz/bitstream/handle/15240/13279/2-s2.0-84925876210.pdf?sequence=1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1515/msr-2015-0004" target="_blank" >10.1515/msr-2015-0004</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A Kalman Filter-Based Algorithm for Measuring the Parameters of Moving Objects

Popis výsledku v původním jazyce

One of the most complex problems in measuring equipment is related to the provision of the required dynamic accuracy ofrnmeasuring systems determining the parameters of moving objects. The present paper views an algorithm for improving therndynamic accuracy of such measuring systems. It is based on the Kalman method. The algorithm aims to eliminate the influence ofrna number of interference sources, each of which is of secondary significance. However, their total effect can cause considerablerndistortion of the measurement signal. The algorithm model is designed for gyro-free measuring systems. It is based on one of thernmost widely used elements in the dynamic systems, namely the physical pendulum, due to which measuring systems of highrndynamic accuracy and low cost can be developed. The presented experimental results confirm the effectiveness of the proposedrnalgorithm with respect to the dynamic accuracy of measuring systems of this type.

Název v anglickém jazyce

A Kalman Filter-Based Algorithm for Measuring the Parameters of Moving Objects

Popis výsledku anglicky

One of the most complex problems in measuring equipment is related to the provision of the required dynamic accuracy ofrnmeasuring systems determining the parameters of moving objects. The present paper views an algorithm for improving therndynamic accuracy of such measuring systems. It is based on the Kalman method. The algorithm aims to eliminate the influence ofrna number of interference sources, each of which is of secondary significance. However, their total effect can cause considerablerndistortion of the measurement signal. The algorithm model is designed for gyro-free measuring systems. It is based on one of thernmost widely used elements in the dynamic systems, namely the physical pendulum, due to which measuring systems of highrndynamic accuracy and low cost can be developed. The presented experimental results confirm the effectiveness of the proposedrnalgorithm with respect to the dynamic accuracy of measuring systems of this type.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JB - Senzory, čidla, měření a regulace

OECD FORD obor

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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)

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název periodika

MEASUREMENT SCIENCE REVIEW

ISSN

1335-8871

e-ISSN

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Svazek periodika

15

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

PL - Polská republika

Počet stran výsledku

8

Strana od-do

19-26

Kód UT WoS článku

000351200800004

EID výsledku v databázi Scopus

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