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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F14%3APU110246%21RIV15-MSM-26220___
rdf:type
skos:Concept n19:Vysledek
dcterms:description
The contribution is focused on the problem of motor failure detection for multicopters using sensors usually used for state estimation. Such an algorithm is an essential part of the safety system which would mitigate the consequences of single motor failure of multicopter. The detection algorithm is based on set of Kalman filters for state estimation. Each Kalman filter has different prediction model (each models a different motor failure). The magnitude of corrections applied in the update step of Kalman filter is used as a measure of model correspondence. The algorithm was tested on simulated data for two different scenarios and shows sufficient performance in both cases. The contribution is focused on the problem of motor failure detection for multicopters using sensors usually used for state estimation. Such an algorithm is an essential part of the safety system which would mitigate the consequences of single motor failure of multicopter. The detection algorithm is based on set of Kalman filters for state estimation. Each Kalman filter has different prediction model (each models a different motor failure). The magnitude of corrections applied in the update step of Kalman filter is used as a measure of model correspondence. The algorithm was tested on simulated data for two different scenarios and shows sufficient performance in both cases.
dcterms:title
Motor Failure Detection for Multicopters Motor Failure Detection for Multicopters
skos:prefLabel
Motor Failure Detection for Multicopters Motor Failure Detection for Multicopters
skos:notation
RIV/00216305:26220/14:PU110246!RIV15-MSM-26220___
n3:aktivita
n17:S
n3:aktivity
S
n3:dodaniDat
n7:2015
n3:domaciTvurceVysledku
n18:4819039
n3:druhVysledku
n20:D
n3:duvernostUdaju
n12:S
n3:entitaPredkladatele
n15:predkladatel
n3:idSjednocenehoVysledku
30648
n3:idVysledku
RIV/00216305:26220/14:PU110246
n3:jazykVysledku
n6:eng
n3:klicovaSlova
Multicopter, Safety System, Failure Detection, Kalman Filter
n3:klicoveSlovo
n9:Kalman%20Filter n9:Failure%20Detection n9:Safety%20System n9:Multicopter
n3:kontrolniKodProRIV
[73A60CB3F9B6]
n3:mistoKonaniAkce
Brno
n3:mistoVydani
Brno
n3:nazevZdroje
Proceedings Of The 20th Conference Student EEICT 2014 Volume 3
n3:obor
n13:JB
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
1
n3:rokUplatneniVysledku
n7:2014
n3:tvurceVysledku
Baránek, Radek
n3:typAkce
n4:CST
n3:zahajeniAkce
2014-04-24+02:00
s:numberOfPages
5
n14:hasPublisher
LITERA Brno
n16:isbn
978-80-214-4924-4
n8:organizacniJednotka
26220