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Naslov:Finite element modelling of a field-sensed magnetic suspended system for accurate proximity measurement based on a sensor fusion algorithm with Unscented Kalman Filter
Avtorji:Chowdhury, Amor (Avtor)
Sarjaš, Andrej (Avtor)
Datoteke:.pdf Sensors_2016_Chowdhury,_Sarjas_Finite_Element_Modelling_of_a_Field-Sensed_Magnetic_Suspended_System_for_Accurate_Proximity_Measurement_B.pdf (9,23 MB)
 
URL http://www.mdpi.com/1424-8220/16/9/1504
 
Jezik:Angleški jezik
Vrsta gradiva:Znanstveno delo (r2)
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FERI - Fakulteta za elektrotehniko, računalništvo in informatiko
Opis:The presented paper describes accurate distance measurement for a field-sensed magnetic suspension system. The proximity measurement is based on a Hall effect sensor. The proximity sensor is installed directly on the lower surface of the electro-magnet, which means that it is very sensitive to external magnetic influences and disturbances. External disturbances interfere with the information signal and reduce the usability and reliability of the proximity measurements and, consequently, the whole application operation. A sensor fusion algorithm is deployed for the aforementioned reasons. The sensor fusion algorithm is based on the Unscented Kalman Filter, where a nonlinear dynamic model was derived with the Finite Element Modelling approach. The advantage of such modelling is a more accurate dynamic model parameter estimation, especially in the case when the real structure, materials and dimensions of the real-time application are known. The novelty of the paper is the design of a compact electro-magnetic actuator with a built-in low cost proximity sensor for accurate proximity measurement of the magnetic object. The paper successively presents a modelling procedure with the finite element method, design and parameter settings of a sensor fusion algorithm with Unscented Kalman Filter and, finally, the implementation procedure and results of real-time operation.
Ključne besede:accurate proximity measurement, sensor fusion algorithm, Unscented Kalman Filter, finite element modelling
Leto izida:2016
Št. strani:str. 1-23
Številčenje:št. 9, Letn. 16
ISSN:1424-8220
UDK:681.5
COBISS_ID:19822614 Povezava se odpre v novem oknu
DOI:10.3390/s16091504 Povezava se odpre v novem oknu
ISSN pri članku:1424-8220
Licenca:CC BY 4.0
To delo je dosegljivo pod licenco Creative Commons Priznanje avtorstva 4.0 Mednarodna
Število ogledov:214
Število prenosov:22
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Gradivo je del revije

Naslov:Sensors
Skrajšan naslov:Sensors
Založnik:MDPI
ISSN:1424-8220
COBISS.SI-ID:10176278 Novo okno

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:meritve, senzorji, Unscented Kalman Filter, modeliranje končnih elementov


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