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Statements

Subject Item
n2:RIV%2F61989100%3A27740%2F14%3A86088852%21RIV15-MSM-27740___
rdf:type
skos:Concept n19:Vysledek
dcterms:description
Radio telescope (RT) installations are highly valuable assets and during the period of their service life they need regular repair and maintenance to be carried out for delivering satisfactory performance and minimizing downtime. Same down time can be expected during machinery usage. Constant control of telescope rotation angle is done manually using visual inspection of hardware. The accuracy of this procedure is very low, therefore, automation and computer control systems are required. With the growing automation technologies, predictive control can prove to be a better approach than the traditionally applied visual inspection policy and linear control models. In this paper, Irbene Radio telescope RT-16 disk rotation control motors are analysed using control voltage from the converters. Retrieved data from the small DC motor is used for the predictive control approach using two different methods: a neural network trained with Basic Levenberg-Marquardt method and a linear model. A multilayer perceptron network approach is used for prediction of the indicator voltage output which affects the monitoring of the disk rotating angle. Finally, an experimental control system was proposed and installed using National Instruments equipment. Radio telescope (RT) installations are highly valuable assets and during the period of their service life they need regular repair and maintenance to be carried out for delivering satisfactory performance and minimizing downtime. Same down time can be expected during machinery usage. Constant control of telescope rotation angle is done manually using visual inspection of hardware. The accuracy of this procedure is very low, therefore, automation and computer control systems are required. With the growing automation technologies, predictive control can prove to be a better approach than the traditionally applied visual inspection policy and linear control models. In this paper, Irbene Radio telescope RT-16 disk rotation control motors are analysed using control voltage from the converters. Retrieved data from the small DC motor is used for the predictive control approach using two different methods: a neural network trained with Basic Levenberg-Marquardt method and a linear model. A multilayer perceptron network approach is used for prediction of the indicator voltage output which affects the monitoring of the disk rotating angle. Finally, an experimental control system was proposed and installed using National Instruments equipment.
dcterms:title
Application of predictive control methods for Radio telescope disk rotation control Application of predictive control methods for Radio telescope disk rotation control
skos:prefLabel
Application of predictive control methods for Radio telescope disk rotation control Application of predictive control methods for Radio telescope disk rotation control
skos:notation
RIV/61989100:27740/14:86088852!RIV15-MSM-27740___
n4:aktivita
n10:P
n4:aktivity
P(ED1.1.00/02.0070), P(EE.2.3.20.0072)
n4:cisloPeriodika
4
n4:dodaniDat
n7:2015
n4:domaciTvurceVysledku
n9:8051283
n4:druhVysledku
n11:J
n4:duvernostUdaju
n5:S
n4:entitaPredkladatele
n16:predkladatel
n4:idSjednocenehoVysledku
3803
n4:idVysledku
RIV/61989100:27740/14:86088852
n4:jazykVysledku
n12:eng
n4:klicovaSlova
Predictive control; Neural network; Multi-layer perceptron; Data processing
n4:klicoveSlovo
n8:Data%20processing n8:Neural%20network n8:Multi-layer%20perceptron n8:Predictive%20control
n4:kodStatuVydavatele
US - Spojené státy americké
n4:kontrolniKodProRIV
[3CA193FF8005]
n4:nazevZdroje
Soft computing
n4:obor
n18:IN
n4:pocetDomacichTvurcuVysledku
1
n4:pocetTvurcuVysledku
4
n4:projekt
n13:EE.2.3.20.0072 n13:ED1.1.00%2F02.0070
n4:rokUplatneniVysledku
n7:2014
n4:svazekPeriodika
18
n4:tvurceVysledku
Kestutis, Ruibys Vozňák, Miroslav Andziulis, Arunas Jakovlev, Sergej
s:issn
1432-7643
s:numberOfPages
10
n17:doi
10.1007/s00500-013-1168-6
n14:organizacniJednotka
27740