Inertial measurements processing for sway angle estimation in overhead crane control applications

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F21%3A43962844" target="_blank" >RIV/49777513:23520/21:43962844 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/AIM46487.2021.9517390" target="_blank" >http://dx.doi.org/10.1109/AIM46487.2021.9517390</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/AIM46487.2021.9517390" target="_blank" >10.1109/AIM46487.2021.9517390</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Inertial measurements processing for sway angle estimation in overhead crane control applications

Popis výsledku v původním jazyce

The main scope of this paper is to propose data fusion algorithms suitable for estimation of gantry crane hook tilt angles based on the MEMS accelerometer and gyroscope readings. Such methods should merge useful information from both these sensors into a better estimate than those based on the measurement from the single device. In the first place, these algorithms should deal with the typical measurement noise which the MEMS readings are known to suffer from. Besides these errors, also the impact of the angular acceleration caused by the crane hook motion and translational acceleration due to cart motion distorting the gravitational vector sensing should be taken into account when designing the data fusion algorithm. The presented methods will be compared by means of experimental tests using a wireless inertial measurement unit developed at our workplace.

Název v anglickém jazyce

Inertial measurements processing for sway angle estimation in overhead crane control applications

Popis výsledku anglicky

The main scope of this paper is to propose data fusion algorithms suitable for estimation of gantry crane hook tilt angles based on the MEMS accelerometer and gyroscope readings. Such methods should merge useful information from both these sensors into a better estimate than those based on the measurement from the single device. In the first place, these algorithms should deal with the typical measurement noise which the MEMS readings are known to suffer from. Besides these errors, also the impact of the angular acceleration caused by the crane hook motion and translational acceleration due to cart motion distorting the gravitational vector sensing should be taken into account when designing the data fusion algorithm. The presented methods will be compared by means of experimental tests using a wireless inertial measurement unit developed at our workplace.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20205 - Automation and control systems

Projekt

<a href="/cs/project/EF17_048%2F0007267" target="_blank" >EF17_048/0007267: VaV inteligentních komponent pokročilých technologií pro plzeňskou metropolitní oblast</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název statě ve sborníku

2021 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM)

ISBN

978-1-66544-139-1

ISSN

2159-6255

e-ISSN

—

Počet stran výsledku

6

Strana od-do

618-623

Název nakladatele

IEEE

Místo vydání

Neuveden

Místo konání akce

Virtual,Delft

Datum konání akce

12. 7. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000702133100066