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  • This paper deals with the implementation of artificial neural network in control of DC drive. In the contribution three control systems are discussed. The first is a direct inverse control and the second is neural feedforward control with PID controller.The last of them contains a conventional PID controller for future comparison of presented control systems. The DC drives were simulated in program MATLAB with Simulink toolbox and Neural network based control system design toolkit. The main goal of the work was to find the simplest neural networks structures with minimum number of neurons, but simultaneously good regulation characteristics are required. Artificial neural networks are mainly used for complicated systems and processes, which are very di fficult to control, therefore variable-speed regulation structures without current controller are considered.
  • This paper deals with the implementation of artificial neural network in control of DC drive. In the contribution three control systems are discussed. The first is a direct inverse control and the second is neural feedforward control with PID controller.The last of them contains a conventional PID controller for future comparison of presented control systems. The DC drives were simulated in program MATLAB with Simulink toolbox and Neural network based control system design toolkit. The main goal of the work was to find the simplest neural networks structures with minimum number of neurons, but simultaneously good regulation characteristics are required. Artificial neural networks are mainly used for complicated systems and processes, which are very di fficult to control, therefore variable-speed regulation structures without current controller are considered. (en)
Title
  • Various control systems of DC drive using artificial neural networks
  • Various control systems of DC drive using artificial neural networks (en)
skos:prefLabel
  • Various control systems of DC drive using artificial neural networks
  • Various control systems of DC drive using artificial neural networks (en)
skos:notation
  • RIV/61989100:27240/01:00000909!RIV/2002/MSM/272402/N
http://linked.open.../vavai/riv/strany
  • 155-159
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM 272400014)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 700083
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27240/01:00000909
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Control system, DC drive, artificial neural network (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [439566F425C4]
http://linked.open...v/mistoKonaniAkce
  • Ostrava
http://linked.open...i/riv/mistoVydani
  • Ostrava
http://linked.open...i/riv/nazevZdroje
  • sborník konference IWCIT 01
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...ocetUcastnikuAkce
http://linked.open...nichUcastnikuAkce
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Brandštetter, Pavel
  • Kuchař, Martin
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Vysoká škola báňská - Technická univerzita Ostrava
https://schema.org/isbn
  • 80-7078-90
http://localhost/t...ganizacniJednotka
  • 27240
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