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Title:Zlivanje podatkov iz pospeškometra, magnetometra in žiroskopa
Authors:ID Prosen, Nataša (Author)
ID Svečko, Rajko (Mentor) More about this mentor... New window
ID Sarjaš, Andrej (Comentor)
Files:.pdf UN_Prosen_Natasa_2016.pdf (2,56 MB)
MD5: C1E5FB8A20BAAC7F5F8D258808383B40
 
Language:Slovenian
Work type:Diploma project paper
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Zaradi motenj, ki jih ima signal mikroelektro-mehanskih senzorjev, pri obdelavi njihovih podatkov, pogosto uporabljamo metodo filtriranja imenovano zlivanje podatkov. V tem diplomskem delu je opisano, kako z zlivanjem podatkov s kalmanovim filtrom pridobiti orientacijske kote iz pospeškometra, magnetometra in žiroskopa. Na podlagi modela senzorja v prostoru stanj, bo na digitalni signalni krmilnik implementiran rekurzivni kalmanov filter, v obliki programske kode v C jeziku. Cilj je analizirati vpliv posameznih parametrov na končni, filtriran signal. Določitev parametrov bo potekala eksperimentalno. Glavni cilj je, nastaviti parametre filtra, tako da imajo podatki o orientacijskem kotu čim manj motenj, so bolj robustni ter pripravljeni za nadaljnjo obdelavo.
Keywords:zlivanje podakov, kalmanov filter, določitev orientacije v prostoru, odpravljanje motenj
Place of publishing:Maribor
Publisher:[N. Prosen]
Year of publishing:2016
PID:20.500.12556/DKUM-60400 New window
UDC:621.3
COBISS.SI-ID:20403478 New window
NUK URN:URN:SI:UM:DK:YYCPCEAP
Publication date in DKUM:22.03.2017
Views:2444
Downloads:378
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:Data fusion using accelerometer, magnetometer and gyroscope
Abstract:For signal processing, due to errors that occur in the measured signal of microelectromechanical systems, method called sensor fusion is used. In this bachelor’s thesis, we explain, how to measure orientation from accelerometer, magnetometer and gyroscope, using sensor fusion method called Kalman filter. Based on sensors state space model, recursive Kalman filter in C code is implemented on digital signal controller. The objective is to analyze impact of covariance matrix on final result. The main objective is calibrating filter and finding the optimal parameters, so that final result of orientation angle has least measurement errors and is useful in further signal processing.
Keywords:sensor fusion, Kalman filter, orientation measurement in space, reduction of measurement error


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