An algorithm for improving the accuracy of systems measuring parameters of moving objects
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24210%2F16%3A00000999" target="_blank" >RIV/46747885:24210/16:00000999 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/46747885:24620/16:00000999
Výsledek na webu
<a href="https://www.degruyter.com/downloadpdf/j/mms.2016.23.issue-4/mms-2016-0041/mms-2016-0041.xml" target="_blank" >https://www.degruyter.com/downloadpdf/j/mms.2016.23.issue-4/mms-2016-0041/mms-2016-0041.xml</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1515/mms-2016-0041" target="_blank" >10.1515/mms-2016-0041</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
An algorithm for improving the accuracy of systems measuring parameters of moving objects
Popis výsledku v původním jazyce
The paper considers an algorithm for increasing the accuracy of measuring systems operating on moving objects. The algorithm is based on the Kalman filter. It aims to provide a high measurement accuracy for the whole range of change of the measured quantity and the interference effects, as well as to eliminate the influence of a number of interference sources, each of which is of secondary importance but their total impact can cause a considerable distortion of the measuring signal. The algorithm is intended for gyro-free measuring systems. It is based on a model of the moving object dynamics. The mathematical model is developed in such a way that it enables to automatically adjust the algorithm parameters depending on the current state of measurement conditions. This makes possible to develop low-cost measuring systems with a high dynamic accuracy. The presented experimental results prove effectiveness of the proposed algorithm in terms of the dynamic accuracy of measuring systems of that type.
Název v anglickém jazyce
An algorithm for improving the accuracy of systems measuring parameters of moving objects
Popis výsledku anglicky
The paper considers an algorithm for increasing the accuracy of measuring systems operating on moving objects. The algorithm is based on the Kalman filter. It aims to provide a high measurement accuracy for the whole range of change of the measured quantity and the interference effects, as well as to eliminate the influence of a number of interference sources, each of which is of secondary importance but their total impact can cause a considerable distortion of the measuring signal. The algorithm is intended for gyro-free measuring systems. It is based on a model of the moving object dynamics. The mathematical model is developed in such a way that it enables to automatically adjust the algorithm parameters depending on the current state of measurement conditions. This makes possible to develop low-cost measuring systems with a high dynamic accuracy. The presented experimental results prove effectiveness of the proposed algorithm in terms of the dynamic accuracy of measuring systems of that type.
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
JS - Řízení spolehlivosti a kvality, zkušebnictví
OECD FORD obor
—
Návaznosti výsledku
Projekt
<a href="/cs/project/LO1201" target="_blank" >LO1201: ROZVOJ ÚSTAVU PRO NANOMATERIÁLY, POKROČILÉ TECHNOLOGIE A INOVACE TECHNICKÉ UNIVERZITY V LIBERCI</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2016
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Metrology and Measurement Systems
ISSN
0860-8229
e-ISSN
—
Svazek periodika
23
Číslo periodika v rámci svazku
4
Stát vydavatele periodika
PL - Polská republika
Počet stran výsledku
11
Strana od-do
555-565
Kód UT WoS článku
000390596200006
EID výsledku v databázi Scopus
2-s2.0-85007618579