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Title:Finite element modelling of a field-sensed magnetic suspended system for accurate proximity measurement based on a sensor fusion algorithm with Unscented Kalman Filter
Authors:ID Chowdhury, Amor (Author)
ID Sarjaš, Andrej (Author)
Files:.pdf Sensors_2016_Chowdhury,_Sarjas_Finite_Element_Modelling_of_a_Field-Sensed_Magnetic_Suspended_System_for_Accurate_Proximity_Measurement_B.pdf (9,23 MB)
MD5: 03A1C6BF1AC996B4428111BCB047F893
 
URL http://www.mdpi.com/1424-8220/16/9/1504
 
Language:English
Work type:Scientific work
Typology:1.01 - Original Scientific Article
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract: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.
Keywords:accurate proximity measurement, sensor fusion algorithm, Unscented Kalman Filter, finite element modelling
Publication status:Published
Publication version:Version of Record
Year of publishing:2016
Number of pages:str. 1-23
Numbering:Letn. 16, št. 9
PID:20.500.12556/DKUM-66367 New window
ISSN:1424-8220
UDC:681.5
ISSN on article:1424-8220
COBISS.SI-ID:19822614 New window
DOI:10.3390/s16091504 New window
NUK URN:URN:SI:UM:DK:2X33ZD4C
Publication date in DKUM:22.06.2017
Views:1608
Downloads:381
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Sensors
Shortened title:Sensors
Publisher:MDPI
ISSN:1424-8220
COBISS.SI-ID:10176278 New window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:22.06.2017

Secondary language

Language:Slovenian
Keywords:meritve, senzorji, Unscented Kalman Filter, modeliranje končnih elementov


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