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Statements

Subject Item
n2:RIV%2F61989100%3A27740%2F13%3A86088430%21RIV14-MSM-27740___
rdf:type
skos:Concept n15:Vysledek
dcterms:description
The paper deals with the applications of artificial neural networks in the control of the DC drive. In the paper three control structures are discussed. The first control structure uses a conventional PI controller. The second structure uses a neural network predictive control. The last structure is a sensorless control of the DC drive using feedforward neural network. The DC drives were simulated in program Matlab with Simulink toolbox. The main goal was to find the simplest neural network structures with minimum number of neurons, but simultaneously good control characteristics are required. Despite used neural networks, which are very simple, it was achieved satisfactory results. The paper deals with the applications of artificial neural networks in the control of the DC drive. In the paper three control structures are discussed. The first control structure uses a conventional PI controller. The second structure uses a neural network predictive control. The last structure is a sensorless control of the DC drive using feedforward neural network. The DC drives were simulated in program Matlab with Simulink toolbox. The main goal was to find the simplest neural network structures with minimum number of neurons, but simultaneously good control characteristics are required. Despite used neural networks, which are very simple, it was achieved satisfactory results.
dcterms:title
Applications of Artificial Neural Networks in Control of DC Drive Applications of Artificial Neural Networks in Control of DC Drive
skos:prefLabel
Applications of Artificial Neural Networks in Control of DC Drive Applications of Artificial Neural Networks in Control of DC Drive
skos:notation
RIV/61989100:27740/13:86088430!RIV14-MSM-27740___
n15:predkladatel
n22:orjk%3A27740
n3:aktivita
n4:S n4:P
n3:aktivity
P(ED1.1.00/02.0070), S
n3:dodaniDat
n5:2014
n3:domaciTvurceVysledku
n21:6045146
n3:druhVysledku
n20:D
n3:duvernostUdaju
n10:S
n3:entitaPredkladatele
n14:predkladatel
n3:idSjednocenehoVysledku
61845
n3:idVysledku
RIV/61989100:27740/13:86088430
n3:jazykVysledku
n19:eng
n3:klicovaSlova
DC drive; sensorless control; predictive control; speed control; Artificial neural network
n3:klicoveSlovo
n16:speed%20control n16:predictive%20control n16:Artificial%20neural%20network n16:sensorless%20control n16:DC%20drive
n3:kontrolniKodProRIV
[2A561FF84B69]
n3:mistoKonaniAkce
Ostrava
n3:mistoVydani
Berlin
n3:nazevZdroje
Advances in Intelligent Systems and Computing. Volume 189
n3:obor
n17:JA
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
2
n3:projekt
n8:ED1.1.00%2F02.0070
n3:rokUplatneniVysledku
n5:2013
n3:tvurceVysledku
Brandštetter, Pavel Bílek, Pavel
n3:typAkce
n23:WRD
n3:wos
000312969500036
n3:zahajeniAkce
2012-09-05+02:00
s:issn
2194-5357
s:numberOfPages
10
n6:doi
10.1007/978-3-642-33018-6_36
n18:hasPublisher
Springer-Verlag
n13:isbn
978-3-642-33017-9
n12:organizacniJednotka
27740